International Journal of Supply Chain and Operations Resilience (9 papers in press)
by Raphael Karutz, Lukas Riedner, Lukas Stumpf, Luisa Robles Vega, Matthias Damert
Abstract: Supply chain management (SCM) increasingly needs to address both
climate change mitigation and adaptation issues. While mitigation aims at
sustainability by reducing the environmental impact of supply chains (SCs),
adaptation entails improving resilience by increasing the ability to cope with
climate-induced disruptions. Although sustainable SCM (SSCM) and resilient
SCM (RSCM) are of increasing importance, there has been little effort to
conceptually connect SSCM and RSCM. Our study explores the
interconnections between both concepts by outlining theoretical elements and
conducting a case study of four companies in the automotive SC based on
company documents and interviews. Results show that SSCM is prioritised over RSCM. We furthermore highlight trade-offs and overlaps between the
elements of SSCM and RSCM, which can be valuable for decision-makers, and
introduce two enabling factors: transparency and diversity. We present a novel
theoretical SCM framework that integrates both resilience and sustainability
perspectives and make propositions for future research.
Keywords: supply chain management; SCM; sustainability; resilience; climate
change; mitigation; adaptation; automotive industry; case study; content
Group Decision Making with Multi-Attribute Crisp and Interval Data and its Application to Supplier Selection Problem
by Mohammad Azadfallah
Abstract: This paper extends the Visekriterijumska Optimizacija I Komprosno Resenje (VIKOR) and the Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) method for solving Multiple Attribute Group Decision Making (MAGDM) problems under crisp and interval data (particularly, VIKOR with crisp and interval data, and TOPSIS only with interval data). In continuation, three new Entropy-based approaches are introduced to determine the importance of decision makers (DMs) in group decision-making process. In addition, to determine the weights of the attributes, conventional entropy method with both crisp and interval data was used. Then, by using the weights of DMs, all individual decisions are aggregated into a collective decision. Finally, three numerical examples in supplier selection context are given to illustrate the feasibility and practability of the proposed MAGDM methods. In order to show the validation of the models a comparative analysis is done by comparing the results of the individual and average of all individual decisions with the extended models. The results indicate that the accuracy of the decision has been increased by considering the DMs weights.
Keywords: MAGDM; VIKOR; TOPSIS; Entropy; Crisp and Interval Data; Supplier Selection Problem.
Analyzing the circular economy opportunities in the French construction sector related to the sustainable supply chain: A Waste Input-Output Analysis
by Jean Pierre Doussoulin, Mariana Bittencourt
Abstract: The construction sector has long recognized the decisive role of the various phases of the building lifecycle in the global environment. The identification of the construction environmental impacts is a significant progress for the development of a sustainable supply chain related to the raw material consumption and the construction and demolition waste (C&DW) generation. In this sense, circular economics principles have solid potential to address these challenges in all European Union countries and especially in France. Nowadays, input-output (I/O) modeling covers the analysis of waste generation (WIO). As the supply chain of the building construction process is complex and has several related activities, and in a preliminary moment a conceptual model was developed, this approach provided an assessment of the mitigation actions of C&DW generation in France. This evaluation shows some positive waste reduction of several materials in the construction process, especially in concrete, metal, rock/rubble and sand/soil. However, the same study exhibits that even materials that can be recycled in the construction process, e.g. concrete, plastic, and metal, might not have a positive waste reduction during demolition due to the lack of proper waste separation and contamination during the process.
Keywords: circular economy; input-output model; supply chain; waste management.
EOQ model for deteriorating item under full advance payment availing of discount when demand is price-sensitive
by Nita Shah, Monika Naik
Abstract: Usually purchasing cost is to be paid instantly after the delivery time in the classical economic order quantity model. But at times in practical scenarios, the retailer demands the customers for the pre-payment of the whole or a specific percentage of the purchasing cost prior to the delivery time. This article consists of developing the customers inventory control system models for deteriorating items under the constraint of full pre-payment system depending on several circumstances which are divided into six cases: i.e. (1) No shortages without preservation scheme; (2) No shortages with preservation scheme; (3) Full backordering shortages is allowed without preservation scheme; (4) Full backordering shortages is allowed with preservation scheme; (5) Permission of partial lost sale without preservation scheme; (6) Permission of partial lost sale with preservation scheme. Finally, in order to validate the derived models, numerical examples along with sensitivity analysis is undertaken, which extracts some fruitful managerial insights.
Keywords: Pre-payment scheme; Deteriorating items; Preservation technology; Full backordering shortages; conditional discounts.
An Integrated Strategic-Operational Supply Chain Network Design: A Case of Consumer Goods Supply Chain
by Aber Elsaleiby
Abstract: This study is motivated by a real-world supply chain that expects unprecedented high demand for some of its products. The fast-moving consumer goods supply chain under study is characterized by a large number of supply points (manufacturing plants) and a limited number of warehouses. It operates under the avoidance of missed demand policy. The aim of this research is to develop a large-scale supply chain model that can enable supply chain managers in general, and the manager of this supply chain in particular, to function under various circumstances. The model is formulated using Mixed Integer Linear Programming (MILP). The proposed model is verified and validated to assure accuracy and credibility. Model verification is done by the aid of data generated for supply chain networks with different sizes using Matlab software. Validation of the models assumptions, structure and objective is done through intensive discussion with supply chain experts from industry and academia. The paper discusses managerial and practical implications of the model.
Keywords: Supply Chain Network Design; fast-moving consumer goods; Mixed Integer Linear Programming; Case Study.
Special Issue on: CiLOG Quantitative Tools for Logistics Competitiveness from the Perspective of Supply Chain Management
Genetic Model for Supply Chain Inventory Optimization
by Mandeep Mittal, Charushi Nagpal, Nandini Malhotra, Annu Lambora, Reshu Agarwal, Sumil Mehta
Abstract: Inventory management is known to be an important aspect in supply chain models. The methodologies used in inventory optimization intend to reduce the cost of supply chain by controlling the inventory in a desired manner, so that the members of supply chain will not be affected by abundance or shortage of stock. In this paper, an efficient approach based on genetic algorithm is proposed in order to reduce the total cost of supply chain. A numerical example is used to explain the new approach. The results show that the proposed approach gains an insight into the supply chain models and is applicable for reducing overall supply chain cost.
Keywords: Supply chain;Inventory Management;Genetic Algorithm.
Selecting the Best Local /Internal Logistic Service Provider in a Natural Disaster: A Game Theoretic Perspective in Relation to Flash Floods in Sri Lanka
by Shanaka Suren Rajakaruna, Chen Yan, A.W. Wijeratne
Abstract: In the light of increasing attention to humanitarian operations, logistics have taken an unprecedented turn in the humanitarian sector. Humanitarian Logistics (HL) has now become one of the significant factors in assisting any disaster. This paper presents a conceptual model to determine an evaluation method to find out the best logistic service provider (LSP) amongst the Local/Internal players in distributing aid. A game theory-based application model has been designed to select the best player. Variables which have an effect on performance were considered when developing the initial utility values. Model provides a pre-entry evaluation system, will assist various donors in effective management of delivery and distribution of humanitarian aid to recipients. The model was tested as a case study in a recent torrential rains and flash flood occurred in Sri Lanka. It is recommended to further test and improve this conceptual model to gain more effective results.
Keywords: Humanitarian Logistics; Performance Measures; Game Theory; Sri Lanka.
Supply Chain: An Input-Output Perspective. An Example of Application in the Dairy Products Industry
by Rodrigo Gabriel Carranza Trinidad, Arturo Gerardo Valdivia Flores
Abstract: In the globalized economy, a new territorial order and reorganization has been created, which is threatened by global economic uncertainty, makes investments falter and inhibits the economic growth of countries. One way of counteracting this uncertainty is to approach scenarios through supply chain methodology in different branches of activity. This work shows the use of selected information in economic surveys to delineate alternative scenarios at the Supply Chain (CS) level with the Input-Output Matrix (MIP). For this purpose, technical, scientific and official information on the subject has been considerate, as well as its impact on global economic phenomena.
Keywords: Information; performance; logistics; challenges; uncertainty; scenarios; regions; effect; globalization; supply chain; input-output matrix; tools.
Analysis of network attributes: potential implementation to the Red Nacional de Caminos de M
by Jared Piña-Barcenas, Carlos Mario Pérez-González, Pamela Hernández-Garfias
Abstract: The Red Nacional de Caminos de M
Keywords: Network analysis; Graph theory; Transport infrastructure; Space networks; Road networks.