Showing papers in "International Journal of Production Research in 2018"
TL;DR: The state of the art in the area of Industry 4.0 as it relates to industries is surveyed, with a focus on China's Made-in-China 2025 and formal methods and systems methods crucial for realising Industry 5.0.
Abstract: Rapid advances in industrialisation and informatisation methods have spurred tremendous progress in developing the next generation of manufacturing technology. Today, we are on the cusp of the Fourth Industrial Revolution. In 2013, amongst one of 10 ‘Future Projects’ identified by the German government as part of its High-Tech Strategy 2020 Action Plan, the Industry 4.0 project is considered to be a major endeavour for Germany to establish itself as a leader of integrated industry. In 2014, China’s State Council unveiled their ten-year national plan, Made-in-China 2025, which was designed to transform China from the world’s workshop into a world manufacturing power. Made-in-China 2025 is an initiative to comprehensively upgrade China’s industry including the manufacturing sector. In Industry 4.0 and Made-in-China 2025, many applications require a combination of recently emerging new technologies, which is giving rise to the emergence of Industry 4.0. Such technologies originate from different disciplines ...
1,780 citations
TL;DR: This study provides an analysis of the drivers, barriers and practices that influence the implementation of the circular economy in the context of supply chains through a systematic review and proposes a multi-perspective framework to analyse the circular Economy’s level of implementation.
Abstract: In the last few years, the circular economy has received considerable attention worldwide because it offers an opportunity to optimise and promote sustainable production and consumption through new...
682 citations
TL;DR: The results show that SMEs do not exploit all the resources for implementing Industry 4.0 and often limit themselves to the adoption of Cloud Computing and the Internet of Things and there is still absence of real applications in the field of production planning.
Abstract: Industry 4.0 provides new paradigms for the industrial management of SMEs. Supported by a growing number of new technologies, this concept appears more flexible and less expensive than traditional ...
673 citations
TL;DR: This article identifies four main research streams concerning the link between Industry 4.0 and lean manufacturing, and a research agenda for future studies is proposed.
Abstract: In recent years, Industry 4.0 has emerged as one of the most discussed concepts and has gained significant popularity in both academia and the industrial sector. Both Industry 4.0 and lean manufact...
481 citations
TL;DR: The reasons and mitigation strategies for the ripple effect in the supply chain are observed and a ripple effect control framework that includes redundancy, flexibility and resilience analysis is presented.
Abstract: In this study, the ripple effect in the supply chain is analysed. Ripple effect describes the impact of a disruption propagation on supply chain performance and disruption-based scope of changes in...
469 citations
TL;DR: It is indicated that LP practices are positively associated with Industry 4.0 technologies and their concurrent implementation leads to larger performance improvements, although not all aspects matter to the same extent and effect.
Abstract: The adoption of Industry 4.0 technologies has been deemed as a strategy to increase product quality and make manufacturing processes more efficient. However, the way that these technologies are int...
445 citations
TL;DR: Potential applications of lean and seru principles for Industry 4.0 are presented and comparisons between seru with TPS and cell are given.
Abstract: This paper discusses production systems with a focus on the relationships between product supply and customer demand in the context of Industry 2.0–4.0. One driver of production evolution is change...
428 citations
TL;DR: It is found that IoT is foundational to any service transformation, although it is mostly needed to become an availability provider, and PA is essential for moving to the performance provider profile.
Abstract: The role of digital technologies in service business transformation is under-investigated. This paper contributes to filling this gap by addressing how the Internet of things (IoT), cloud computing...
411 citations
TL;DR: A qualitative, grounded theory case study approach is employed to help understand what drives supply chain disruption propagation and to provide theoretical insights into this emerging area.
Abstract: When a disruption occurs in a firm, its effects are often felt throughout the supply chain. As supply chains expand globally and companies pursue velocity and efficiency, the probability of disruptions propagating throughout a chain grows. In this paper, we employ a qualitative, grounded theory case study approach to help understand what drives supply chain disruption propagation and to provide theoretical insights into this emerging area. For a more complete perspective, we study three interconnected tiers in seven unique supply chains. Each supply chain triad consists of (1) a focal firm (a manufacturer), (2) a supplier to the focal firm and (3) a customer of the focal firm allowing us to gain perspective from three levels in multiple supply chains. Three aggregate dimensions are defined which help explain the propagation of supply chain disruptions: the nature of the disruption, structure and dependence, and managerial decision-making. Within these dimensions, six themes are identified giving an increa...
255 citations
TL;DR: The results indicate that sustainable single sourcing enhances the ripple effect; facility fortification at major employers in regions mitigates the rippleEffect and enhances sustainability; and a reduction in storage facilities in the supply chain downstream of a disruption-risky facility increases sustainability but causes the rippleeffect.
Abstract: Dynamics of structures and processes is one of the underlying challenges in supply chain management, where multiple dimensions of economic efficiency, risk management and sustainability are interconnected. One of the substantiated issues in supply chain dynamics is resilience. Resilience has a number of intersections with supply chain sustainability. This paper aims at analysing disruption propagation in the supply chain with consideration of sustainability factors in order to design resilient supply chain structure in regard to ripple effect mitigation and sustainability increase. Ripple effect in the supply chain occurs if a disruption at a supplier cannot be localised and cascades downstream impacting supply chain performance. This simulation-based study helps to identify what sustainability factors mitigate the ripple effect in the supply chain and what sustainability factors enhance this effect. The results indicate that (i) sustainable single sourcing enhances the ripple effect; (ii) facility fortif...
254 citations
TL;DR: An Internet of things (IoT)-based warehouse management system with an advanced data analytical approach using computational intelligence techniques to enable smart logistics for Industry 4.0 is proposed.
Abstract: Warehouse operations need to change due to the increasing complexity and variety of customer orders. The demand for real-time data and contextual information is requried because of the highly customised orders, which tend to be of small batch size but with high variety. Since the orders frequently change according to customer requirements, the synchronisation of purchase orders to support production to ensure on-time order fulfilment is of high importance. However, the inefficient and inaccurate order picking process has adverse effects on the order fulfilment. The objective of this paper is to propose an Internet of things (IoT)-based warehouse management system with an advanced data analytical approach using computational intelligence techniques to enable smart logistics for Industry 4.0. Based on the data collected from a case company, the proposed IoT-based WMS shows that the warehouse productivity, picking accuracy and efficiency can be improved and it is robust to order variability.
TL;DR: A simulated annealing algorithm is used to solve the complicated optimisation problem where both multiple maintenance actions and stochastic quality model are taken into account and a comparison with deterministic maintenance shows the importance of considering the proposed stochastically quality in selective maintenance scheduling.
Abstract: Many systems are required to perform a series of missions with finite breaks between any two consecutive missions. To improve the probability of system successfully completing the next mission, mai...
TL;DR: A stochastic bi-objective optimisation model is developed that utilises a fuzzy c-means clustering method to quantify and assess the sustainability performance of the suppliers and determines outsourcing decisions and resilience strategies that minimise the expected total cost and maximise the overall sustainability performance in disruptions.
Abstract: Resilience to disruptions and sustainability are both of paramount importance to supply chains. However, the interactions between the two have not been thoroughly explored in the academic literatur...
TL;DR: One of the major findings is that buyer’s warning capability plays a vital role in enhancing supply chain resilience, and a scenario-based mathematical model is developed such that it considers objectives under uncertainties including disruption risks and operational risks.
Abstract: This paper investigates the use of sourcing strategies to achieve supply chain resilience under disruptions. The coping strategies considered are single and multiple sourcing, backup supplier contracts, spot purchasing, and collaboration and visibility. Collaboration and visibility, which affect suppliers’ recovery capabilities and a buyer’s warning capability, have not been similarly modelled in the past. A scenario-based mathematical model is developed such that it considers objectives under uncertainties including disruption risks and operational risks. A broad numerical study examines its output for various risk attitudes in a decision-maker, ranging from risk neutral to risk averse. The sensitivity of procurement strategies to other key parameters such as recovery and warning capabilities is examined. One of the major findings is that buyer’s warning capability plays a vital role in enhancing supply chain resilience. We seek to build on these efforts to further support disruption planning and mitigat...
TL;DR: An overview of how the research in IJPR has evolved alongside the social-environmental evolution is provided, and a broader perspective on production research expanding to inter-organisational, supply chain, research is shown.
Abstract: The research on production and operations management and its linkage to environmental sustainability has seen growth in recent years. The International Journal of Production Research (IJPR) communi...
TL;DR: The paper attempts to measure the behaviour of risks following the assessment of supply chain risk propagation to provide a holistic measurement approach for predicting the complex behaviour of risk propagation for improved supply network risk management.
Abstract: Supply chain risk propagation is a cascading effect of risks on global supply chain networks. The paper attempts to measure the behaviour of risks following the assessment of supply chain risk prop...
TL;DR: The proposed study is one of the first few to be conducted in the Canadian context for green supply chain barrier analysis for electronic goods sector and the barriers are investigated through causality and prominence relations which can help decision-makers, policy planners and managers of organisations in addressing those critical few for making green supply network practices a success.
Abstract: Green supply chain management (GSCM) involves consideration of environmental impacts of all the processes involved in a typical supply chain to minimise their negative consequences. In this paper, ...
TL;DR: This work considers the problem of designing a parcel locker network as a solution to the Logistics Last Mile Problem: Choosing the optimal number, locations, and sizes of parcel locekers facilities, and solves the modified problem, and applies it to an industrial-sized network.
Abstract: We consider the problem of designing a parcel locker network as a solution to the Logistics Last Mile Problem: Choosing the optimal number, locations, and sizes of parcel locekers facilities. The o...
TL;DR: A review of 83 related scientific journal publications that utilise mathematical modelling techniques to address issues in the sustainable food supply chain (SFSC) domain identifies the salient dimensions that include economic, environmental and social issues in SFSC.
Abstract: Faced with the challenges associated with sustainably feeding the world’s growing population, the food industry is increasingly relying on operations research (OR) techniques to achieve economic, e...
TL;DR: While lean practices were found to directly affect environmental performance, the indirect effect of lean practices on environmental performance through green practices is stronger, indicating complementarity.
Abstract: We assess the antecedent link between lean and green practices and assess the combined impact of lean and green practices on both environmental and operational performance. A lean and green practic...
TL;DR: The number of papers presented in this issue is increased to 57, taking into account the enthusiasm and extremely encouraging reaction of colleagues, and the main criteria for selection papers considered for publication in IJPR are scientific rigour and practical relevance.
Abstract: In 2017, we have published the 55th volume of the International Journal of Production Research. To celebrate this anniversary, we decided to prepare a special double issue with papers by leading scholars in Production Research. The list of papers presented in this issue is reported in Table 1. The names of invited authors are in the first column in the alphabetical order. I am very happy, because the most distinguished colleagues in our domain have positively responded and submitted outstanding papers to this special issue. Initially we planned to publish 55 papers, but taking into account the enthusiasm and extremely encouraging reaction of colleagues, we have decided to increase the number to 57 articles. All papers were reviewed by at least three referees and were accepted after at least a revision. IJPR was founded in 1961 and is one of the oldest journals publishing research on decision-making in product/ process design, production engineering, operations management and logistics. IJPR was the first European-based manufacturing journal publishing papers seven years after Management Science (founded in 1954). Along with other well-established journals, for example, European Journal of Operational Research (founded in 1977) and International Journal of Production Economics (originally founded in 1976), IJPR is one of most recognised journals published in Europe, presenting high-quality international research on production systems and logistics. T. Fry and J. Donohue, The University of South Carolina, USA, in their paper (Fry and Donohue 2013), have analysed 15 most known journal ranking studies of 147 most known journals and developed a DEA model. Based on this model, they have ranked 32 best OM journals with IJPR ranked fourth after Management Science, Journal of Operations Management and Operations Research. In contrast with the most of OM and OR/MS journals, IJPR offers an overall vision of problems, techniques and applications in production systems: from product design, manufacturing system engineering to production systems and supply network optimisation. Moreover, as it is often stated the reputation of IJPR is based on strong relationship to industrial applications (Dolgui 2012). The main criteria for selection papers considered for publication in IJPR are scientific rigour and practical relevance. The article A dynamic model of managerial response to grey swan events in supply networks by Henk Akkermans and Luk N. Van Wassenhove opens this issue. It deals with so-called grey swan events that can inflict massive damage on production and logistics. Contrarily to black swans, grey swans are not completely unpredictable. The authors present a dynamic model to prevent such events. An empirical investigation concerning the Airbus A380 introduction illustrates this study. Ron Askin with Girish Jampani Hanumantha published paper Queueing network models for analysis of nonstationary manufacturing systems. The authors suggest new queueing network models of manufacturing systems taking into account dynamic demand and time-dependent resource availability. Numerical validation of the models is given on realistic flow-shop and job-shop instances. The next paper by Kevin P. Scheibe and Jennifer Blackhurst Supply chain disruption propagation: A systemic risk and normal accident theory perspective proposes a qualitative case study approach to understand better supply chain disruption propagation phenomena and to provide theoretical insights into this challenging research and application domain. Joachim Scholl, David Boywitz and Nils Boysen contributed to this issue with the article On the quality of simple measures predicting block relocations in container yards which deals with the problem how to minimise the number of unproductive moves in a container yard where it is necessary to remove blocking containers to other stacks when retrieving a given sequence of containers. The article Value of quick response: Selling to strategic consumers with risk preference and decreasing valuation by Yongli Wang, Juliang Zhang, T.C.E. Cheng, Guowei Hua studies interesting pricing issues under risks. They are very important in the modern market, especially for e-commerce. Quick response strategy is analysed; some major theoretical results and optimal pricing policies are obtained.
TL;DR: This paper contributes to this literature development effort by summarising prior research reviews and developing a three-component framework aimed at helping researchers to build better theories through combining structured experimental design with discrete-event simulations of supply chains.
Abstract: The research literature of supply chain risk and resilience is at a critical developmental stage. Studies have established the importance of these topics both to researchers and practitioners. They...
TL;DR: The findings show that market turbulence has negative universal effects and that agile manufacturing enablers are being progressively deployed and aided by BDBA to yield better competitive and business performance objectives.
Abstract: The purpose of this study was to examine the role of big data and business analytics (BDBA) in agile manufacturing practices. Literature has discussed the benefits and challenges related to the deployment of big data within operations and supply chains, but there has not been a study of the facilitating roles of BDBA in achieving an enhanced level of agile manufacturing practices. As a response to this gap, and drawing upon multiple qualitative case studies undertaken among four U.K. organizations, we present and validate a framework for the role of BDBA within agile manufacturing. The findings show that market turbulence has negative universal effects and that agile manufacturing enablers are being progressively deployed and aided by BDBA to yield better competitive and business performance objectives. Further, the level of intervention was found to differ across companies depending on the extent of deployment of BDBA, which accounts for variations in outcomes.
TL;DR: It is found that, while reactive risk mitigation strategies on their own fail to reduce supply chain risk, they are effective when used in conjunction with sustainability efforts, and preventive risk mitigation efforts are only effective in mature supply chains such as the OECD countries.
Abstract: Supply chain managers across the globe are finding it difficult to manage the increasingly complex supply chains despite adopting a variety of risk mitigation strategies. Firms on the other hand ha...
TL;DR: This study considers a wide range of quantitative and qualitative risk factors in supplier selection and evaluates the efficacy of alternative risk mitigation strategies in this context and suggests that both upstream and downstream strategies should be utilised simultaneously rather than relying on a single type of strategy.
Abstract: According to a study conducted by PwC and the Business Continuity Institute in 2013, 75% of companies experience at least one major supply chain disruption a year and majority of the disruptions were caused by supply-related problems. With an increasing emphasis on upstream risk, risk management in supplier selection has become a critical issue faced by companies. Although previous studies proposed different methods and tools for effective and efficient supplier selection, only few approaches have attempted to incorporate risk mitigation strategies in supplier selection decisions. Our study aims to fill this gap by considering a wide range of quantitative and qualitative risk factors in supplier selection and evaluates the efficacy of alternative risk mitigation strategies in this context. Moreover, we suggest that both upstream and downstream strategies should be utilised simultaneously rather than relying on a single type of strategy. We further suggest that it is critical to align upstream and downstre...
TL;DR: A concise overview of some important learning models is presented and a new classification scheme for the different model of scheduling under learning effects is proposed and discussed and a cartography showing the relation between some well-known models is proposed.
Abstract: Traditionally, the processing times of jobs are assumed to be fixed and known throughout the entire process. However, recent empirical research in several industries has demonstrated that processin...
TL;DR: This paper maps out different research strands using thematic analysis on the literature pertaining to large companies’ efforts on social sustainability in their supply chains using the ‘4P’ model, which suggests that pressure and partnerships influence practices, which in turn impact performance.
Abstract: This paper maps out different research strands using thematic analysis on the literature pertaining to large companies’ efforts on social sustainability in their supply chains. The data corpus for this thematic analysis is a broad sample of the literature with articles from different journals and employing different research methodologies. Each of the high-level themes is identified at a level high enough to apply to research into not only social but also economic or environmental sustainability. These eight themes – stakeholder pressure; governance; contingencies; practices; partnerships; barriers and enablers; performance; and optimisation for performance improvement and trade-off – are then woven into a thematic map. We call this map the ‘4P’ model as it suggests that pressure and partnerships influence practices, which in turn impact performance. Researchers can use this thematic classification not only to position their research within the social sustainability literature but also to integrate resear...
TL;DR: In this article, the authors examined the forms of business value that companies can create from big data analytics investments, the direct impacts it has on the financial performance of a firm, and the mediating effects of market performance and customer satisfaction.
Abstract: Big data has recently been recognised as one of the most important areas of future technology. It has attracted the attention of many industries, since it has the potential to provide companies with high business value. This paper examines the forms of business value that companies can create from big data analytics investments, the direct impacts it has on the financial performance of a firm, and the mediating effects of market performance and customer satisfaction. Drawing on the resource-based view theory, this study demonstrates that the business value achieved from investments in big data analytics leads to advantages in terms of the financial performance of a firm. The results offer evidence of the existence of a customer satisfaction mediation effect and of the absence of a market performance mediation effect. Theoretical and practical implications are discussed at the end of the paper.
TL;DR: In this article, scheduling problem of a space-constrained AGV-based prefabricated bathroom units (PBU) manufacturing system is addressed and the proposed genetic algorithm has the potential to guide the real practice.
Abstract: In this article, scheduling problem of a space-constrained AGV-based prefabricated bathroom units (PBU) manufacturing system is addressed Space becomes a key resource to this manufacturing system
TL;DR: This overview provides a concise review of several emerging issues in flexibility, such as risk and uncertainty management, environmental sustainability, optimal strategies under competition, optimal operations with strategic consumer behaviours, and supplier integration and behavioural flexibility.
Abstract: Increasing product proliferation, customisation, competition and customer expectations, as well as supply side disruptions, pose significant challenges to firm operations. Such challenges require i...