Showing papers in "International Journal of Integrated Supply Management in 2016"

Exact and heuristic methods for integrated supply chain design reliability analysis

Abstract: The ability to execute supply chains (SC) operations (in other words, to survive) despite the disturbances caused by a disruption is considered as SC design reliability. In the scope of this research is the analysis of what SC elements will survive (i.e., be in operation) after a disruption. In this study, we take the managerial perspective of the integrated SC and suggest the genome concept and its dual analogue to quantify the SC structure reliability. This method allows determining the upper bound and the approximate lower bound of the SC reliability. This result can be used by SC managers to compare different SC designs regarding the reliability. Subsequently, we extend the structure reliability analysis towards the trade-off 'reliability vs. efficiency'. In particular, it is shown that different forms of SC design structures with similar efficiency may significantly differ regarding reliability.

Promoting environmental citizenship behaviour

Abstract: Previous research on sustainability in the supply chain has typically been at the firm level. Recognising that the successful implementation of supply chain environmental sustainability initiatives is ultimately up to the employees that have to do the work, this study examines the factors that promote an individual's willingness to voluntarily engage in environmental behaviours in the workplace (i.e., environmental citizenship behaviours (ECBs)). Using commitment theory, we develop a model that delineates how four organisational practices and two individual differences serve to promote employee engagement in ECBs by enhancing employee commitment to work related environmental activities. The process-oriented model receives empirical support in relation to five of the six antecedents within a supply chain focused sample of distribution centre employees. Results are discussed in terms of their theoretical implications for environmental and commitment research, along with their role in addressing supply chain environmental sustainability.

The effect of triple-A supply chain on performance applied to the Egyptian textile industry

Abstract: The purpose of this paper is to examine the effect of triple-A supply chain (TSC) on performance by collecting and analysing data from the textile industry in Egypt, the proposed research model describes the impact of TSC on organisational performance. The proposed research model and hypotheses were tested using correlation analysis and structural equation modelling based on data collected from 153 companies in the Egyptian textile industry. According to the results of the study, organisational performance is positively associated with the three dimensions of the TSC, the data used in this study were collected from 153 companies in the Egyptian textile industry. However, the generalisation of the study results may be limited by the size of the sample. This study provides a useful working model in the textile industry. The results suggest that the successful implementation of TSC will contribute to improve organisational performance.

A fuzzy ANP-based approach for selection of knowledge management strategies to build resilient supply chain: an empirical case study

Abstract: The globalisation of business and the pressure for cost reduction have in turn created a supply chain (SC) risks. SC risks are increasing in number and frequency. Therefore, SCs must be resilient to overcome their vulnerabilities, responding effectively to the negative effects of disturbances. Knowledge management (KM) strategies are high-level plans that focus on providing the organisation with the knowledge and capabilities required to build resilient SC. An objective of this paper is to select the best KM strategies to build resilient SC. This study proposes a fuzzy analytical network process (ANP) method for selection of best KM strategies to build resilient SC. An empirical case study analysis of an Indian hydraulic valve manufacturing organisation is conducted to illustrate the use of the proposed fuzzy ANP method. The findings suggest that dynamic KM strategies are best to build resilient SC.

Reverse logistics in manufacturing waste management: the missing link between environmental commitment and operational performance

Abstract: This paper aims to investigate empirical justification on the missing link of environmental commitment (EC) to improve manufacturing firms' operational performance (OP) with reverse logistics (RL) as an intervening variable. The model was developed based on natural resource-based view (NRBV) theory. Research sample was the electronics and electrical (E&E) manufacturing firms. The model was tested using software for variance-based structural equation modelling (SEM) with the partial least squares (PLS) method. The results showed positive results for developed hypotheses on direct and indirect models. This study therefore, suggested that manufacturing firms should select the most appropriate methods of waste reduction for business survival. The manufacturing firms could use RL technique to transform a recycled scrap into finished products with high quality and zero waste concept for environmental sustainability.

A goal programming approach for supplier evaluation and demand allocation among suppliers

Abstract: This paper presents a hybrid algorithm for supplier evaluation and demand allocation among the suppliers. The objective here is to minimise the inventory and transportation costs and simultaneously to maximise the total purchase value of the items taking into consideration demand condition, supplier capacity, budget and delivery lead-time constraints. Since the problem is multi-objective decision making, we solve this problem by converting all mixed integer programming objectives in to single objective with the help of goal programming approach. The customer demand is allocated among the suppliers by using a hybrid algorithm based on the technique for order preference by similarity to ideal solution (TOPSIS), fuzzy set theory, MILP, and goal programming approaches. The results are validated by computational experiment and prove the efficacy of the hybrid algorithm.

The effects of green policy on the performance of green supply chains

Abstract: This paper focuses on the performance of green supply chains and adding the green concept to it so as to emphasise the importance of environmental issues and the need of eco-friendly systems. The purpose of this study is to propose a model for evaluating the effects of green policy on the performance of green supply chains. We show that supply chain collaboration is benefit enhancing when the levels of green damage caused by pollution are low. However, when the level of damage is high, it turns out that suppliers anticipate tougher green policy when they share information than when they do not, and so do not share information. This distorts the R&D decisions in ways that make the non-cooperative equilibrium benefit enhancing.

Supply chain coordination using revenue sharing contract with price discount and stochastic demand dependent on time and price

Abstract: This paper studies the coordination of two-echelon supply chains using stochastic demand that is dependent on retail price and time. Due to fewer tendencies of costumers to buy products, which are approaching their expiry date, price discount is an attractive mechanism to encourage consumers to purchase these products as considered in this paper. We develop models for objective functions of supply chain members. These models lead to the determination of the retail price and discount time. To coordinate supply chain, revenue sharing contract is also considered. Uniform distribution is used for stochastic part of demand and the situation is considered in which shortage cost is lower than surplus cost. Numerical example was solved to illustrate the model performance.

An optimisation model for downstream petroleum supply chain incorporating geographic information system (GIS)

Abstract: The petroleum industry has one of the most complex and advanced supply chains around the world, which has motivated numerous studies aiming at optimising the distribution network and managing the logistics operations. This paper proposes a deterministic mixed integer linear programming (MILP) model to determine the optimal location of the distribution centres (DCs), capacities and allocation of the products in the downstream petroleum supply chain (PSC) by considering demand, capacity and flow balance constraints. The MILP minimises the multi-echelon multi-product cost for the petroleum industry along the refineries, DCs and demand nodes. The MILP is further tested with real data for the PSC network involving supply at the existing refineries and proposed DCs. Geographic information system (GIS) was used to analyse spatial data and to map the supply chain refineries, DCs and demand nodes to visualise the process. Sensitivity analysis is conducted on key parameters to provide insights on PSC decisions, while minimising the total cost.

Responsible buying practices in supply risk management

Abstract: Supply management is responsible for the management of a firm's supply network and risks arising from the supply base. Thus, defined principles and practices related to responsibility of purchasing are highly critical. The aim of this paper is to discuss the role of responsible buying practices in supply risk management. This is examined by utilising quantitative survey data collected in Finland. The results show that responsible buying practices correlate positively with supply risk management. However, there are differences in terms of risk type. The empirical data showed that the more attention paid to corporate social responsibility (CSR), third-party and delivery risks, the higher the usage of responsible buying practices. Furthermore, it was found that country risk does not correlate with CSR risk and third-party risk, and risks vary according to the industry and nature of business.

Contrary evidence: product modularity and supplier integration

Abstract: This research investigates whether there is any relationship between the levels of product modularity (PM) and organisational modularity (OM). It additionally explores the implications of this relationship on inventory performance. The proposition, mirroring hypothesis, establishes the positive relationship between PM and OM. However, many studies oppose to the mirroring hypothesis by revealing various contingent factors. The one, even if not being uncovered yet, is an operational factor. High inventory performance requires the pair 'modular product - supplier integration', indicating a negative relationship between PM and OM at across-firm level. This research sheds light on this controversy based on the data collected by Turkish manufacturing firms. The results show the negative correlation between PM and OM for the first time. Hence, this research additionally uncovers (i) the effects of integral products on the supplier integration level, and (ii) the counter-effects of supplier integration on the PM level.

A note on: An economic order quantity model for items with imperfect quality and inspection errors

Abstract: A manufacturing plant treats defectives and non-defectives differently (Wahab and Jaber, 2010). On the basis of this approach, in this technical note, an optimal batch size is determined for the model in Khan et al. (2011a). Furthermore, the model is extended for learning in supplier's quality. These practical extensions of the above model are more in line with the practice in the present-day industry. The numerical results are compared to those in Khan et al. (2011a), and Maddah and Jaber (2008). The proposed model suggests a smaller batch size and lower annual cost than that in Khan et al. (2011a).