Showing papers in "International Journal of Production Research in 2013"
TL;DR: In this paper, the fundamental building blocks of supply chain agility are conceptualized as supply- and demand-side competence, which are viewed as enabler (moderator) on the relationship between supply chain competencies and supply-chain agility.
Abstract: This paper investigates the fundamental building blocks of supply chain agility, which are conceptualised as supply- and demand-side competence. While the former refers to production and supply management related activities, the latter refers to distribution and demand management related activities. The model further assesses the influence of supply chain agility on operational performance, as well as its mediating role in the relationship between supply- and demand-side competence and performance. Within this framework, process compliance, i.e. how well supply chain management processes are internally executed by the firm's employees, is viewed as an enabler (moderator) on the relationship between supply chain competencies and supply chain agility. Theoretical substantiation is provided by the resource-based view of the firm augmented with the dynamic capabilities perspective. The model is tested with data from 121 supply chain management professionals. Implications for both academic theory development and supply chain and production management practice are provided.
356 citations
TL;DR: In this paper, a two-level (vendor-buyer) supply chain model with a coordination mechanism is presented while accounting for greenhouse gas (GHG) emissions from manufacturing processes.
Abstract: The European Union Emissions Trading System (EU-ETS) is considered one of the main legislative systems that are set up to reduce emissions and protect the environment. Most of the works in the literature approach this system from a legislation and/or global point of view. Little has been done to examine this system from the perspective of the user. This work is believed to be the first to consider the EU-ETS system in a supply chain and operations management context. A two-level (vendor–buyer) supply chain model with a coordination mechanism is presented while accounting for greenhouse gas (GHG) emissions from manufacturing processes. Different emissions trading schemes are considered, and possible combinations between these schemes are presented. The developed model could be found useful by mangers who wish to jointly minimise the inventory-related and GHG emissions costs of their supply chains when penalties for exceeding emissions limits are considered. Numerical examples are presented, and results are...
346 citations
TL;DR: In this paper, the authors examined three types of risks, namely supply risk, demand risk and process risk in relation to three kinds of collaboration, namely supplier collaboration, customer collaboration and internal collaboration, as a mechanism to mitigate those risks.
Abstract: Along with increasing supply chain risks due to economic and environmental changes, it is imperative to answer the question of how to reduce supply chain risks. This study examines supply chain collaboration as a risk mitigation strategy. The study examines three types of risks, namely supply risk, demand risk and process risk in relation to three types of collaboration, namely supplier collaboration, customer collaboration and internal collaboration, as a mechanism to mitigate those risks. The proposed relationship model is tested with data collected from 203 manufacturing companies in Australia. The results show that each area of collaboration effectively reduces its respective supply chain risk, but only the mitigation of process risk and demand risk has a direct effect on supply chain performance. In addition, both supply risk and demand risk increase process risk. We offer theoretical and practical implications of the findings.
295 citations
TL;DR: In this article, the authors identify the research areas on lean production implementation and propose research opportunities, including structure and scope of LP systems, factors that influence in the LP implementation; methods for implementing LP systems; LP assessment methods; results of implementing LP system; and adaptation of LP to particular sectors.
Abstract: The increasing use of lean production (LP) by companies from several sectors has substantially increased the amount of publications and different emphases on the subject, which amplifies the need for organisation of that knowledge. This article aims to identify the research areas on LP implementation and to propose research opportunities. The literature review was based on 102 studies published in the years between 1996 and 2012. The studies were divided into six research areas, named: (a) structure and scope of LP systems; (b) factors that influence in the LP implementation; (c) methods for implementing LP systems; (d) LP assessment methods; (e) results of implementing LP systems; and (f) adaptation of LP to particular sectors. The findings suggested that the substantial increase on the amount of publications on LP implementation has created fragmented and dissociated areas that would benefit from integration.
280 citations
TL;DR: An integrated approach, with a fuzzy analytical hierarchy process (AHP) and a fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) as its important elements, has been used for capturing the subjectivity of the situation with a final conversion to a crisp value which is much more comprehensible.
Abstract: Risk is inherent in almost every activity of supply chain management. With the ever-increasing push for efficiency, supply chains today are getting more and more risky. Adding to the difficulty of dealing with these risks is the amount of subjectivity and uncertainty involved. This makes analytical examination of the situation very difficult, especially as the amount of information available at a particular time is not sufficient for such an analysis. Thus a supply chain risk index, which captures the level of risk faced by a supply chain in a given situation, is the need of the hour. This study is an effort towards quantifying the risks in a supply chain and then consolidating the values into a comprehensive risk index. An integrated approach, with a fuzzy analytical hierarchy process (AHP) and a fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) as its important elements, has been used for this purpose. Fuzzy values in this study help in capturing the subjectivity of the s...
254 citations
TL;DR: In this paper, a new tabu algorithm was proposed to solve the distributed permutation flow shop scheduling problem, which exploits a novel tabu strategy to swap sub-sequences of jobs to generate neighborhood.
Abstract: Distributed permutation flow shop scheduling problem (DPFSP) is a newly proposed scheduling problem, which is a generalisation of classical permutation flowshop scheduling problem. Studies on algorithms for solving this problem are in the early stage. In this paper, we propose a new tabu algorithm for solving this problem, which exploits a novel tabu strategy. A method that swaps sub-sequences of jobs is presented to generate neighbourhood. Moreover, an enhanced local search method is proposed and also combined into the tabu algorithm. We also use the well-known benchmark of Taillard (extended to the distributed permutation flowshop problems) to test the algorithm. From the intensive experiments we carried out, we conclude that the proposed tabu algorithm outperforms all the existing algorithms including heuristics algorithms (i.e. NEH1, NEH2, VND(a) and VND(b)) and a hybrid genetic algorithm, so the best-known solutions for 472 instances are updated. Moreover, it is worth mentioning that the efficiency o...
171 citations
TL;DR: In this article, the effects of lean production on both operational and worker health and safety performance were investigated in 10 case studies, and it was shown that the adoption of lean practices and or an overall lean philosophy has a positive impact on operational and health-and-safety performance.
Abstract: This research takes a first step toward a more complete understanding of the effects of lean production on both operational and worker health and safety performance. Previous operations management literature considered only the operational performance implications of lean while previous safety literature considered only the worker health and safety implications of lean. This research considers both perspectives by providing empirical evidence on the impact of lean on operational and health and safety performance. Results from 10 case studies show that the adoption of lean practices and or an overall lean philosophy has a positive impact on operational and health and safety performance. However, there are some nuances in the role of individual practices associated with lean. The plants with the worst operational and health and safety performance in the sample were those that adopted just-in-time practices without human resource and prevention practices. The results show how both the social and tec...
162 citations
TL;DR: In this paper, the authors provide a careful scrutiny of the papers appearing in international scientific journals in recent years on the greener supplier selection problem, highlighting utilised methodologies and current issues, and verify the penetration of environmental and green criteria for the supplier selection in corporate practice.
Abstract: In recent years, an increasing environmental awareness has favoured the emergence of the new green supply chain paradigm; thus, also in the supplier selection problem, green criteria were incorporated. The aim of this paper is twofold. First, a careful scrutiny of the papers appearing in international scientific journals in recent years on the greener supplier selection problem is provided, highlighting utilised methodologies and current issues; second, a verification of the penetration of environmental and green criteria for the supplier selection in corporate practice is performed, using a questionnaire survey targeting the top 100 manufacturing companies operating in South Yorkshire (UK) and two in-depth interviews at large MNE firms operating in complex industries. Results show that, while interest in the literature is growing, there is little empirical evidence of the transfer of these applications into the real world, highlighting a persistent dichotomy between theory and practice. The reasons for t...
161 citations
TL;DR: A branch-and-cut algorithm is proposed for the solution of IRPs with multiple products and multiple vehicles and considers the inclusion of consistency features that are meaningful in a multi-product environment and help improve the quality of the service offered.
Abstract: The combined operation of distribution and inventory control achieved through a vendor-managed inventory strategy creates a synergetic interaction that benefits supplier and customers. Inventory-Routing Problems (IRPs) arise when inventory and routing decisions must be taken simultaneously, which yields a difficult combinatorial optimisation problem. While most IRP research deals with a single product, there are often several products involved in distribution activities. In this paper, we propose a branch-and-cut algorithm for the solution of IRPs with multiple products and multiple vehicles. We formally define and model the problem, and we solve it exactly. We also consider the inclusion of consistency features that are meaningful in a multi-product environment and help improve the quality of the service offered.
155 citations
TL;DR: In this article, the authors investigate antecedents which foster proactive SCRM implementation from a contingency theory perspective, and demonstrate that a mechanistic management control system, a rational cognitive style and relational buyer-supplier relationships have positive impacts on proactively managing supplier insolvency risks.
Abstract: Since supplier insolvencies are a major source of supply chain disruptions, scholars have continuously suggested managing supply chain risk management (SCRM) proactively in order to avoid their occurrence. However, business practice seems to fail with this task. This paper investigates antecedents which foster proactive SCRM implementation from a contingency theory perspective. As a major contingency we choose past supplier insolvencies as an indicator for the level of vulnerability of organisations and investigate inter-organisational, intra-organisational, and individual antecedents. By consulting supply chain management and management accounting literature, hypotheses are developed and tested via content analysis in 63 interviews with representatives from the automotive industry. The findings demonstrate that a mechanistic management control system, a rational cognitive style and relational buyer–supplier relationships have positive impacts on proactively managing supplier insolvency risks. Furthermore, past experience with supplier insolvencies has a moderating, though not a direct, effect on proactiveness. This research suggests that a holistic risk management approach is required to proactively mitigate supplier insolvency risk.
154 citations
TL;DR: In this article, a modified iterated greedy (MIG) algorithm is proposed to minimize the maximum completion time among all the factories in a distributed permutation flowshop scheduling problem.
Abstract: The distributed permutation flowshop scheduling problem (DPFSP) is a newly proposed topic in the shop scheduling field, which has important application in globalised and multi-plant environments. This study presents a modified iterated greedy (MIG) algorithm for this problem to minimise the maximum completion time among all the factories. Compared with previous approaches, the proposed algorithm is simpler yet more effective, more efficient, and more robust in solving the DPFSP. To validate the performance of the proposed MIG algorithm, computational experiments and comparisons are conducted on an extended benchmark problem set of Taillard. Despite its simplicity, the computational results show that the proposed MIG algorithm outperforms all existing algorithms, and the best-known solutions for almost half of instances are updated. This study can be offered as a contribution to the growing body of work on both theoretically and practically useful approaches to the DPFSP.
TL;DR: A review of various issues related with manufacturing flexibility specifically concept, need, dimensions, measurement, relationship among various dimensions, implementation aspect in a company and management of manufacturing flexibility is presented in this paper.
Abstract: Flexibility has become one of the most useful and necessary tool in today’s competitive markets. Manufacturing flexibility is widely recognised as a critical component to achieving a competitive advantage in the market place. It is one of the most sought after properties for manufacturing enterprises and has aroused considerable interest among researchers and professionals. This paper presents a review of various issues related with manufacturing flexibility specifically concept, need, dimensions, measurement, relationship among various dimensions, implementation aspect in a company and management of manufacturing flexibility and its aim to contribute to the conceptual systemisation of the material.
TL;DR: In this article, the authors report evidence from a survey, aimed at testing whether and how Information and Communication Technologies (ICTs) which enable the adoption of product-service systems, can contribute to value creation.
Abstract: This paper reports evidence from a survey, aimed at testing whether and how Information and Communication Technologies (ICTs), which enable the adoption of product-service systems, can contribute to value creation. This analysis builds on previous contributions, according to which companies that are enriching their product offering through value-added services (the so-called servitisation strategy) often report lower levels of profitability, owing to the poor performance of their operating process. A wide stream of research claims that companies that invest in ICTs can enjoy valuable outcomes, since the adoption of such technologies results in processes that are more efficient and more responsive. Our hypothesis concerns the possibility of leveraging ICTs at operating process level so as to pursue a servitisation strategy. The in-field analysis presented in this paper concerns a sample of 109 companies located in Italy; data collected through the survey have been analysed using the structural equation mod...
TL;DR: In this paper, a distributed assembly permutation flow shop scheduling problem (DAPFSP) with two stages is proposed to model and study complex supply chains, which is a generalisation of the Distributed Permutation Flowshop Scheduling Problem (DPFSP).
Abstract: Nowadays, improving the management of complex supply chains is a key to become competitive in the twenty-first century global market. Supply chains are composed of multi-plant facilities that must be coordinated and synchronised to cut waste and lead times. This paper proposes a Distributed Assembly Permutation Flowshop Scheduling Problem (DAPFSP) with two stages to model and study complex supply chains. This problem is a generalisation of the Distributed Permutation Flowshop Scheduling Problem (DPFSP). The first stage of the DAPFSP is composed of f identical production factories. Each one is a flowshop that produces jobs to be assembled into final products in a second assembly stage. The objective is to minimise the makespan. We present first a Mixed Integer Linear Programming model (MILP). Three constructive algorithms are proposed. Finally, a Variable Neighbourhood Descent (VND) algorithm has been designed and tested by a comprehensive ANOVA statistical analysis. The results show that the VND ...
TL;DR: In this article, a new mixed integer mathematical model for a closed-loop supply-chain network that includes both forward and reverse flows with multi-periods and multi-parts is proposed.
Abstract: In this paper, a new mixed integer mathematical model for a closed-loop supply-chain network that includes both forward and reverse flows with multi-periods and multi-parts is proposed. The proposed model guarantees the optimal values of transportation amounts of manufactured and disassembled products in a closed-loop supply chain while determining the location of plants and retailers. Finally, computational results are presented for a number of scenarios to show and validate the applicability of the model.
TL;DR: In this paper, a large-scale mail survey was conducted from a contact list of 800 companies provided by the Singapore Logistics Association to build a knowledge sharing model, and the results of the structural equation modelling suggest that trust has significant effects on technical exchange and technology transfer.
Abstract: Knowledge sharing has been recognised as a key enhancer of supply-chain performance. However, the sharing of knowledge may not take place easily and automatically among the supply-chain partners. This paper attempts to shed some light on the mechanisms underpinning knowledge sharing in supply chains. In particular, we focus on knowledge sharing in a dyadic buyer–supplier relationship. We posit that trust and power are two important antecedents of two types of knowledge sharing between a buyer and supplier, namely technical exchange and technology transfer. To build our research model, a large-scale mail survey was conducted from a contact list of 800 companies provided by the Singapore Logistics Association. The results of the structural equation modelling suggest that trust has significant effects on technical exchange and technology transfer. Further, power also affects technical exchange and technology transfer significantly, though the impacts appear to be weaker than trust. The theoretical and practi...
TL;DR: In this article, the impact of QM practices on firm performance has been the subject of constant interest and challenge among researchers and empirical studies have attempted to investigate QM practice-performance relationships in different contexts.
Abstract: Within the operations management literature, quality management (QM) has been one of the most popular research areas over the last two decades QM is an integrative management philosophy aimed at the continuous improvement of performance Consequently, the impact of QM practices on firm performance has been the subject of constant interest and challenge among researchers Numerous empirical studies have attempted to investigate QM practice–performance relationships in different contexts Based on an extensive review of the literature, this paper attempts to reflect the research stream on the impact of QM on firm performance and to provide insights for future research For this purpose, the reviewed QM literature is organised and classified along three main themes: QM practices, performance and QM–performance relationships
TL;DR: A two step approach using fuzzy AHP and fuzzy technique for order of preference by similarity to ideal solution has been proposed for multi-criteria decision-making and illustrated using a numerical example.
Abstract: A supply chain ecosystem consists of the elements of the supply chain and the entities that influence the goods, information and financial flows through the supply chain. These influences come through government regulations, human, financial and natural resources, logistics infrastructure and management, etc., and thus affect the supply chain performance. Similarly, all the ecosystem elements also contribute to the risk. The aim of this paper is to identify both performances-based and risk-based decision criteria, which are important and critical to the supply chain. A two step approach using fuzzy AHP and fuzzy technique for order of preference by similarity to ideal solution has been proposed for multi-criteria decision-making and illustrated using a numerical example. The first step does the selection without considering risks and then in the next step suppliers are ranked according to their risk profiles. Later, the two ranks are consolidated into one. In subsequent section, the method is also extended for multi-tier supplier selection. In short, we are presenting a method for the design of a resilient supply chain, in this paper.
TL;DR: In this paper, a capability maturity model was developed to assess the extent to which the usage of a company's current ERP system supports pull production practices and to suggest modifications to the ERP systems in order to better serve the company's pull system.
Abstract: It is generally accepted that lean production improves manufacturing processes through the systematic application of lean practices, and equally assumed that present day IT systems, particularly ERP systems, are essential for companies seeking efficiency through organisational integration. Though lean production and ERP co-exist in many companies today, there is an ongoing argument in the scientific literature as to whether or not ERP systems can be used to support lean production principles, particularly pull production. By applying a multiple-case-study approach, we assess the functionality offered by ERP systems to support pull production. We develop and apply a capability maturity model that can be used to assess the extent to which the usage of a company's current ERP system supports pull production practices and to suggest modifications to the ERP system in order to better serve the company's pull system. We focus on the application of lean production and ERP within small- and medium-sized enterpris...
TL;DR: In this paper, the authors identify and analyse key decision variables that an organization can opt for in order to initiate resource recovery from return activities and improve overall performance, and provide guidelines to establish flexible decision strategies using the interpretive structural modelling (ISM) approach.
Abstract: Identifying and analysing key decision variables that an organisation can opt for in order to initiate resource recovery from return activities and improve overall performance is a challenge. Therefore, to assist organisations which are involved in or about to initiate an effective recovery process, this paper provides guidelines to establish flexible decision strategies using the interpretive structural modelling (ISM) approach. This study has identified interrelationships between green variables such as supplier commitment, cost, regulations, etc. and has categorised relevant enablers. Further, variables such as capacity utilisation, customer satisfaction, energy consumption reduction, etc. are recognised as outcomes or results. After statistically verifying these variables, it has been inferred that driving enablers aid in promoting performance variables, while the result variables represent outcomes achieved via the driving variables. Further, using MICMAC analysis, a graphical categorisation of the v...
TL;DR: In this article, a fuzzy hierarchical TOPSIS approach is proposed to support the assessment of green supply chain management (GSCM) initiatives, which enables decision makers to better understand the complete evaluation process and provide a more accurate, effective and systematic decision support tool.
Abstract: Implementing green supply chain management (GSCM) initiatives can generate more business opportunities for firms. It also requires changes in firms’ operational capabilities and resources that may have an adverse effect on firms’ operations performance. In order to achieve sustainable economic and environmental performance, it is essential for companies to evaluate different green initiatives and assess improvement areas when implementing green initiatives. This study proposes a fuzzy hierarchical TOPSIS approach to support such an assessment. It enables decision makers to better understand the complete evaluation process and provide a more accurate, effective and systematic decision support tool. An illustrative case is presented to help researchers and practitioners understand the importance of developing an appropriate organisation strategy in implementing green practices.
TL;DR: In this paper, the main XPS principles of 30 renowned multinationals are analyzed for similarities and differences and five propositions regarding the uniqueness of XPSs are derived from universalistic versus contingent perspectives on improvement programmes.
Abstract: This explorative study investigates the phenomenon of the company-specific production system (XPS). It has been a strong and recent trend across many manufacturing industries to develop and deploy such a corporate improvement programme. Five propositions regarding the uniqueness of XPSs are derived from universalistic versus contingent perspectives on improvement programmes. The main XPS principles of 30 renowned multinationals are analysed for similarities and differences. In conclusion, XPSs largely represent variants of the same in content. They represent an own-best-way approach to the one-best-way paradigm. Even though a tight relationship to the Toyota Production System (TPS) and lean production is established, the findings raise a red flag that XPSs might suffer under a too rigid, path-dependent development process from what has become an overly technical understanding of the TPS. This study also questions whether modern manufacturers have sufficiently integrated other essential elements of modern ...
TL;DR: In this article, the main design trade-offs for this new solution using simulation, and proposes a comprehensive design framework, using data from a recently implemented AVS/RS, the application of the proposed framework is presented and the key design differences between the two types of AVS configuration (i.e., tier-captive versus tier-to-tier) are identified.
Abstract: In today’s competitive environment with increasingly faster deliveries and smaller order sizes, material handling providers are progressively developing new solutions. A more recent development in automated material-handling technology for unit load storage and retrieval is the autonomous vehicle storage and retrieval system (AVS/RS). The paper investigates the main design trade-offs for this new solution using simulation, and proposes a comprehensive design framework. Using data from a recently implemented AVS/RS, the application of the proposed framework is presented and the key design differences between the two types of AVS/RS configuration (i.e. tier-captive versus tier-to-tier) are identified.
TL;DR: In this article, a decision model that captures supply-side disruption risks, social risks, and demand-side uncertainty within an integrated global supply chain and corporate social responsibility (CSR) modelling and analysis framework is presented.
Abstract: This paper presents a decision model that captures supply-side disruption risks, social risks, and demand-side uncertainty within an integrated global supply chain and corporate social responsibility (CSR) modelling and analysis framework. The global supply chain decision-makers must decide on the level of investment in CSR activities and the choice of trading partners (manufacturer or retailer) given their CSR consciousness and perceived riskiness in order to maximise profit and minimise their overall risk. The model incorporates individual attitudes towards disruption risks among the manufacturers and the retailers, with the demands for the product associated with the retailers being random. The model allows one to investigate the effects of heterogeneous CSR activities in a global supply chain and to compute the resultant equilibrium pattern of product outputs, transactions, product prices, and levels of social responsibility activities. The results show that CSR activities can potentially be used to m...
TL;DR: In this article, a literature-based taxonomy of the core dimensions of lean is presented, from which managers can follow their set of themes to guide their managerial efforts, and insights into the inner workings of a lean system showing several examples of the delicate balances and tensions which exist.
Abstract: The purposes of this research are to remove some of the confusion surrounding the characterisation of lean systems; to delve deeper into the human issues associated with lean; and to explore the complexity of an established lean system to identify issues which affect its success and ongoing continuance. Using the mixed methods of literature analysis, semi-structured interviews and document analysis, we examine the lean implementation in one site of an international car manufacturer. We claim several contributions for the work. First, we produce a literature-based taxonomy defining the core dimensions of lean – this gives managers a clear roadmap for lean implementation. A second contribution is a detailed delineation of the human issues of lean, from which managers can follow our set of themes to guide their managerial efforts. Finally, we provide insights into the inner workings of a lean system showing several examples of the delicate balances and tensions which exist. Perhaps none is as significant as ...
TL;DR: In this paper, the authors consider flow shop layouts that have seldom been studied in the rescheduling literature, and they generate and employ three types of disruption that interrupt the original schedules simultaneously.
Abstract: Almost all manufacturing facilities need to use production planning and scheduling systems to increase productivity and to reduce production costs. Real-life production operations are subject to a large number of unexpected disruptions that may invalidate the original schedules. In these cases, rescheduling is essential to minimise the impact on the performance of the system. In this work we consider flow shop layouts that have seldom been studied in the rescheduling literature. We generate and employ three types of disruption that interrupt the original schedules simultaneously. We develop rescheduling algorithms to finally accomplish the twofold objective of establishing a standard framework on the one hand, and proposing rescheduling methods that seek a good trade-off between schedule quality and stability on the other.
TL;DR: A new stochastic mixed integer programming approach to integrated supplier selection, order quantity allocation and customer order scheduling in the presence of supply chain disruption risks is presented.
Abstract: This paper presents a new stochastic mixed integer programming approach to integrated supplier selection, order quantity allocation and customer order scheduling in the presence of supply chain disruption risks. Given a set of customer orders for products, the decision maker needs to decide from which supplier to purchase parts required to complete the orders, how to allocate the demand for parts among the selected suppliers, and how to schedule the customer orders over the planning horizon to minimize total cost of ordering and purchasing of parts plus penalty cost of delayed and unfulfilled customer orders and to mitigate the impact of disruption risks. The risk-neutral and risk-averse solutions that optimize, respectively average and worst-case performance of a supply chain are compared for both single and multiple sourcing strategy. Numerical examples are presented and computational results are reported.
TL;DR: In this article, the authors developed a theoretical approach to integrate the core factors which affect operational competitiveness performance, that is to say manufacturing strategy and transformational leadership with technology level, into conceptual analytical models to evaluate overall competitiveness, and utilises sense and respond (S&R) for dynamic decision-making to optimise resource allocations and adjust strategies in order to develop competitiveness potential in a sustainable manner.
Abstract: The future competitiveness of manufacturing operations under dynamic and complex business environments relies on forward-thinking strategies. The objective of this paper is to identify and develop the operational competitiveness in a sustainable manner by implementing a unique sustainable competitive advantage (SCA) for managing dynamic business situations. This paper develops a theoretical approach to integrating the core factors which affect operational competitiveness performance, that is to say manufacturing strategy and transformational leadership with technology level, into conceptual analytical models to evaluate overall competitiveness, and utilises sense and respond (S&R) for dynamic decision-making to optimise resource allocations and adjust strategies in order to develop competitiveness potential in a sustainable manner. From the empirical research, the adjustments in manufacturing strategy and transformation leadership by implementing SCA through fast strategy with proposed models are found to...
TL;DR: In this article, a theoretical model with six hypotheses was proposed based on the technology-organisation-environment (TOE) framework and innovation diffusion theory (IDT) for mobile supply chain management.
Abstract: Mobile supply chain management (SCM) is gaining recognition as a major source of cost reduction and supply chain performance improvement. The current literature related to mobile SCM needs to be extended further in order to provide insights into how manufacturing firms can implement mobile SCM successfully. Specifically, there is a need to provide empirical and systematic analysis of the variables that can explain the various stages of mobile SCM diffusion. A review of recent literature suggests that existing e-supply chain technology adoption literature is not strongly grounded in theory. A theoretical model with six hypotheses was proposed based on the technology–organisation–environment (TOE) framework and innovation diffusion theory (IDT). This study draws its survey responses from a group of manufacturing firms in order to investigate the factors that affect the diffusion of mobile SCM. The results show that the variables derived from TOE and IDT can explain mobile SCM diffusion well. However, intero...
TL;DR: The focus of operations planning and control for manufacturing firms has expanded successively over the last 50 years as discussed by the authors and new principles, techniques, and systems have emerged that have allowed for new approaches The perspective for planning and controlling has expanded from internal production operations to supply chain operations linking suppliers, manufacturers, and customers.
Abstract: The focus of operations planning and control for manufacturing firms has expanded successively over the last 50 years New principles, techniques, and systems have emerged that have allowed for new approaches The perspective for planning and control has expanded from internal production operations to supply chain operations linking suppliers, manufacturers, and customers In this paper, we take a historical perspective identifying the key trends and focus shifts in the evolution of planning and control, from shop floor control through material requirements planning (MRP), master production scheduling (MPS), and sales and operations planning (S&OP) to supply chain planning (SCP)