JournalTOCs

International Journal of Supply Chain and Inventory Management
Number of Followers: 6

Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2054-099X - ISSN (Online) 2054-1007
Published by Inderscience Publishers

[451 journals]

Fuzzy genetic algorithm-based model for bullwhip effect reduction in a
multi-stage supply chain
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  Authors: Marjia Haque, M. Ahsan Akhtar Hasin
  Pages: 1 - 24
  Abstract: Synchronisation among supply chain (SC) stages is essential, but difficult to achieve, which results in a bullwhip effect. This paper proposes an interactive fuzzy-based genetic algorithm approach for reducing bullwhip effect by minimising total SC cost as well as to determine optimal ordering quantities in a multi-stage, multi-period SC using fuzzy logic combined with genetic algorithm. To face the uncertainty, forecasted customer demand and other SC cost related parameters are considered as uncertain parameters which are modelled through triangular fuzzy membership function. We used the strategy of simultaneously minimising the most possible value, the most pessimistic value and the most optimistic value of the total costs. Finally, a real-life case study is solved with the help of Matlab software to illustrate the usefulness of the approach where we employed different unique genetic algorithm parameters and compared the result obtained with existing policy and using only genetic algorithm.
  Keywords: multi-stage supply chain; bullwhip effect; genetic algorithm; fuzzy logic; total supply chain cost
  Citation: International Journal of Supply Chain and Inventory Management, Vol. 4, No. 1 (2021) pp. 1 - 24
  PubDate: 2021-05-04T23:20:50-05:00
  DOI: 10.1504/IJSCIM.2021.114720
  Issue No: Vol. 4, No. 1 (2021)
Idea, methodology, features and benefits of e-Aushadhi (drug supply chain
management system)
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  Authors: Alok Bharti, Payal Tewari, Hemant Jain
  Pages: 25 - 41
  Abstract: This paper presents idea, methodology, features, functionality and benefits to different departments of a customised application software solution named as e-Aushadhi developed by Center of Development of Advance Computing (CDAC), India. e-Aushadhi automates the workflow of various process of procurement, management and distribution of various drugs, sutures and surgical required by different state warehouses across India. It further aims to improve the drug warehouse (DWH) management system and facilitate to provide cost-effective essential drugs to common people by keeping an eye on the flow of drugs, vaccines and other health sector goods.
  Keywords: e-Aushadhi; supply chain management; inventory management; procurement; logistics; distribution; drug warehouse; DWH
  Citation: International Journal of Supply Chain and Inventory Management, Vol. 4, No. 1 (2021) pp. 25 - 41
  PubDate: 2021-05-04T23:20:50-05:00
  DOI: 10.1504/IJSCIM.2021.114723
  Issue No: Vol. 4, No. 1 (2021)
Determining optimal locations of distribution centres to minimise
transportation costs
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  Authors: Alok Bharti, Payal Tewari, Hemant Jain
  Pages: 42 - 58
  Abstract: Locating and allocating distribution centres optimally is a vital decision in supply chain management. Doing so will improve the efficiency of the logistics system as well as reduce its operating costs significantly. In this study, we develop a mixed-integer mathematical model to determine the optimal locations and allocations of distribution centres, which minimise the operational cost. The performance of this model is then tested using data collected from a leading building products distribution company in the USA. The computational results were analysed to determine whether the company can reduce its transportation and operational costs significantly by implementing new optimal distribution locations. Results show that the company can reduce its transportation costs 20% by implementing the location and allocations given by the proposed mathematical model.
  Keywords: optimal locations; warehouse; supply chain management; transportation cost; location and allocation
  Citation: International Journal of Supply Chain and Inventory Management, Vol. 4, No. 1 (2021) pp. 42 - 58
  PubDate: 2021-05-04T23:20:50-05:00
  DOI: 10.1504/IJSCIM.2021.114740
  Issue No: Vol. 4, No. 1 (2021)
Using the analytic hierarchy process to design supply chains based on
demand uncertainty and implied resource requirements
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  Authors: Reza Khorramshahgol, Mohammad Askar Saoud
  Pages: 59 - 80
  Abstract: In today's volatile business environment, a single supply chain (SC) for a firm can be quite risky. The loss resulting from any disruptive operations, in a case with a single SC, can be much higher than costs of having a few resilient supply chains. For a firm to provide its customers with the desired responsiveness, a few supply chains should be developed. However, due to scarcity of resources, it would be impossible to indiscriminately provide top quality service to all customers. This study uses the Delphi method and analytic hierarchy process (AHP) to rank a firm's customers and to determine the implied resource requirements to fulfil customer orders. Using this information, a customer priority index (CPI) matrix is constructed. The CPI matrix is subsequently divided into four quadrants and for each quadrant, a unique SC strategy is formulated, considering the customer's importance and degree of scarcity of resources.
  Keywords: implied resource requirement; customer ranking; AHP; Delphi method; customer priority index; CPI
  Citation: International Journal of Supply Chain and Inventory Management, Vol. 4, No. 1 (2021) pp. 59 - 80
  PubDate: 2021-05-04T23:20:50-05:00
  DOI: 10.1504/IJSCIM.2021.114745
  Issue No: Vol. 4, No. 1 (2021)
Analysis of decision making and information sharing strategies in a
two-echelon supply chain
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  Authors: Preetam Kulkarni, Vahid Azizi, Lizhi Wang, Guiping Hu
  Pages: 81 - 106
  Abstract: The objective of this research is to study the interactions of deterministic and stochastic optimisation models in presence of information sharing in a supply chain with a varying level of error in demand forecast. In a two-echelon supply chain there are two different strategies, deterministic or stochastic, for supplier and manufacturer. All the four combinations (stochastic vs. deterministic for supplier and manufacturer) of the decision-making strategies in a two-echelon supply chain have been considered and the performance is evaluated. The results show that stochastic optimisation is efficient in lowering the operational costs and bull-whip effect in most cases. However, in cases where the trend in demand variation is smooth, using deterministic strategy by both stakeholders is beneficial if the demand forecast accuracy is more than 50%. If both stakeholders use stochastic strategy when the information accuracy is less than 50% coupled with more variation in demand, information sharing is not beneficial.
  Keywords: deterministic optimisation; stochastic optimisation; supply chain; information sharing
  Citation: International Journal of Supply Chain and Inventory Management, Vol. 4, No. 1 (2021) pp. 81 - 106
  PubDate: 2021-05-04T23:20:50-05:00
  DOI: 10.1504/IJSCIM.2021.114750
  Issue No: Vol. 4, No. 1 (2021)