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INDONESIA
International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation
International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts accepted for publication in IJSCM must have clear implications for Supply chain managers based on one or more of a variety of rigorous research methodologies. IJSCM also publishes insightful meta-analyses of the SCM literature, conceptual/theoretical studies with clear implications for practice, comments on past articles, studies concerning the SCM field itself, and other such matters relevant to SCM.
Arjuna Subject : -
Articles 2,561 Documents
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Implementing Shannon Entropy, SWOT and Mathematical Programming for Supplier Selection and Order Allocation Mazaher Ghorbani; S. Mohammad Arabzad; Mahdi Bahrami
International Journal of Supply Chain Management Vol 1, No 1 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Supplier selection is a multiple criteria decision making (MCDM) problem which is affected by several conflicting factors. In the business market of flaming competition in recent years, more attention has been paid to this problem. In this paper, a two-phased model is proposed for supplier selection and order allocation. At the first, suppliers are evaluated according to both qualitative and quantitative criteria resulting from SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis. SWOT is a useful technique in strategic management and is utilized to determine criteria and to deal with suppliers situation in competitive market. Defining the criteria, Shannon entropy is then used to calculate weight of criteria. Then the results are used as an input for integer linear programming (ILP) to allocate order to suppliers.
Using Node Combination Method in Time-expanded Networks sahar abbasi
International Journal of Supply Chain Management Vol 1, No 1 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

This study concerns the problem of finding shortest paths in time-expanded networks by repeatedly combining the source nodes nearest neighbor, time-expanded network is derived from dynamic network G= (V,A,T) and contains one copy of the node set of the underlying static network for each discrete time step (building a time layer). we use node combination (NC) method in networks which arc costs can vary with time, each arc has a transit time and parking with a corresponding time-varying cost is allowed at the nodes. The NC algorithm finds the shortest paths with three simple iterative steps: find the nearest neighbor of the source node, combine that node with the source node, and modify the costs on arcs that connect to the nearest neighbor. The NC algorithm is more comprehensible and convenient for programming as there is no need to maintain a set with the nodes distances.
Impact of government law on edible oil supply chain in Bangladesh Perspective Reaz Ameen Choudhury; Meghla Clara Costa
International Journal of Supply Chain Management Vol 1, No 1 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Abstract-This descriptive study is not intended as a detailed analysis; its aim is to present an overall view of the impact of a government law regarding edible oil marketing and distribution in Bangladesh. Social, economic, environmental and sustainability issues are not covered in this report. All the data of this report is collected from secondary source. This study is going to deliver contribution to the new investors who are going to invest in this industry, existing industries for legal compliance and process improvement. The academics can use this report for analyzing market scenario and Bangladesh government authorities can use it partially for monitoring market and decision making purpose.
Distribution Evaluation Problem Based on Data Envelopment Analysis Arabzad, S. Mohammad; Ghorbani, Mazaher; Bahrami, Mahdi
International Journal of Supply Chain Management Vol 1, No 1 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Companies have found that the optimal Supply Chain Management (SCM) increases successfulness by acquiring direct and indirect benefits in the supply chain. Therefore, SCM has attracted managers and researchers attention nowadays. Distributors, as a part of a supply chain and a link between the producer and the customers, can help producers to develop new products and processes. In this paper, an integrated Kano-DEA method has introduced for distribution evaluation. This combination has used to determine the importance weights of evaluation criteria. Then, distributors have been evaluated using Data Envelopment Analysis (DEA) technique. Finally, in order to show the application aspects, a numerical example is presented. 
Redesigned ITESCM Model: An Academic SCM for the Universities Pathik, Bishwajit Banik; Habib, Dr. Md. Mamun
International Journal of Supply Chain Management Vol 1, No 1 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

This exploratory research addresses the academic supply chain which consists of educational supply chain and educational management as the major constituents of the ITESCM (Integrated Tertiary Educational Supply Chain Management) model for the universities. The study revealed four main activities; includes education development, education assessment, research development, and research assessment; in the educational management. Four aspects of each main activity, namely Programs Establishment, University Culture, Faculty Capabilities, and Facilities were investigated at three decision levels. The original ITESCM model was developed based on the secondary data, i.e. analysis of the literature, and primary data, i.e. interviews with stakeholders of tertiary academic institutions. Model structures were defined and confirmed by 493 respondents, representing University administrators of leading tertiary educational institutions around the world, faculty and staffs, employers, and graduates. The resulting model was subsequently evaluated for accuracy and validity by multiple linear regression (MLR) analysis and the structural equation modeling (SEM) technique. The redesigned model is the revised form of original ITESCM, that would be easily understandable and research equations are more user friendly for practical field applications. The research model and equations provide a novel approach for prospective investors or current administrators of the tertiary academic institutions to review and appraise their performance toward fulfillment of ultimate goals, i.e. producing high-competent graduates and significant research outcomes for the betterment of the consumer, i.e. the society.
Identification of Risk Factors in Globally Outsourced Software Projects using Logistic Regression and ANN R. P. Mohanty; G. Sahoo; Jyotirmoy Dasgupta
International Journal of Supply Chain Management Vol 1, No 1 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Abstract Global supply chains are often critically dependent upon globally outsourced Information Technology (IT) and Business Process Outsourcing (BPO) projects. Effective risk assessment and mitigation of these projects is therefore of great importance for such supply chains. Traditional risk management techniques used so far in IT and BPO projects have depended almost entirely on the Expected Utility Theory that computes risk exposure as the product of risk probability and risk impact. Although this method is considered the gold standard in risk assessment, it has severe limitations due to the fact that accurate computation of risk probability and impact is difficult. In this and earlier papers, we have advocated the use of risk factors in conjunction with other existing methods for risk assessment. Risk factors are conditions that affect project performance. In this paper, we use Logistic Regression and Artificial Neural Network (ANN) based methods on a set of globally outsourced projects to predict project performance and to rank the relative importance of project risk factors. Although in this paper these techniques have been tested in outsourced IT projects, these can also be used in identifying and determining project risk factors in other industries. Keywords Outsourced projects, Risk Management, Risk Factors, Logistic Regression, Artificial Neural Networks
Channel Member’s Power and Dependence as a Determinant for Performance of a Distribution Channel within a South Asian Developing Country Thusitha Weerasinghe Gunawardana
International Journal of Supply Chain Management Vol 1, No 2 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Producers of industrial products designed for international markets use marketing intermediaries to execute an assortment of necessary functions to get the product to the final user. Managing distribution channel to fulfil the requirements of target market is a great challenge for these producers. Individuals and organizations that take part in distribution channel perform different roles in the distribution channel. Based on their dissimilarities in the distribution channel, the channel members will have different levels of power and dependence in relation to each other. Previous research shows that there is an inverse relationship between power and dependence in distribution channels in western countries. This inverse relationship may however not hold within national cultures characterized by a collectivistic social system. There is a lack of research on power dependence relationships within international distribution channels that combine producers of industrial products and middlemen located within countries with a strong collectivistic social system with channel intermediaries located in western countries. This study addresses the gap in the literature and proposes a study that is going to contributes to the literature by investigating power dependence relationships among channel members in an industrial distribution channel in a national culture characterized by a South Asian developing country. By using an exploratory research design, it is shown how channel members power and dependence is related to cooperation and trust among channel members and how cooperation and trust impact on the distribution chains performance. The study provides valuable insights that marketers in South Asian countries can utilize to develop more focused marketing strategies which may enable them to compete more effectively in the increasingly competitive markets.
Applying Actual Usage Inventory Management Best Practice in a Health Care Supply Chain Varghese, Vijith; Rossetti, Manuel; Pohl, Edward; Apras, Server; Marek, Douglas
International Journal of Supply Chain Management Vol 1, No 2 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

The demand characteristics and optimal control policies for pharmaceutical items within a multi-echelon provider network are examined within the framework of a case study. This paper lays a foundation for the better understanding of the application and acceptance of more advanced inventory control practices driven by actual usage data within the health care supply chain. Demand forecasting algorithms were applied to forecast demand for inventory control procedures.  The costs of inventory control models are compared to the current ordering and inventory control strategies to document potential cost savings using both a single echelon analysis and a multi-echelon analysis. The results indicate that there is great potential for significant cost savings within the provider network. It is likely that if other providers adopt such practices that they will be able to better control material supply costs.
Enhancing Supply Chain Management for the Universities: ITESCM Model Perspective Pathik, Bishwajit Banik; Habib, Dr. Md. Mamun
International Journal of Supply Chain Management Vol 1, No 2 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

This exploratory research addresses the application guidelines of ITESCM (Integrated Tertiary Educational Supply Chain Management) model for better Supply Chain Management in Universities. This study encompasses education supply chain, research supply chain and educational management as major constituents of ITESCM. Four main activities, includes education development, education assessment, research development, and research assessment in four aspects, namely Programs Establishment, University Culture, Faculty Capabilities, and Facilities were investigated at three decision levels. The ITESCM model was formulated based on the secondary data, i.e. analysis of the literature, and primary data, i.e. interviews with stakeholders of tertiary academic institutions. Model structures were defined and confirmed by 493 respondents, representing University administrators of world-ranking universities, faculty and staffs, employers, and graduates. The resulting structure was subsequently evaluated for accuracy and validity by multiple linear regression (MLR) analysis and the structural equation modeling (SEM) technique. This empirical study represents two contributions in terms of human resource contribution and research contribution to the end customer, i.e. the society. Model evaluation by actual implementation is suggested for prospective investors or current university administrators.
Supply Chain Management of Textile Industry: A Case Study on Bangladesh Mohammad Ali; Dr. Mamun Habib
International Journal of Supply Chain Management Vol 1, No 2 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

This study addresses a descriptive study on the current scenario of Textile industry in Bangladesh. This paper demonstrates above mentioned scenario in terms of supply chain management (SCM). The textile industry, an important segment in Bangladeshs manufacturing industry, play a critical role in its economic development. The textile sector fulfils almost cent percent domestic demand apart from the fulfilling the external demand of clothing and apparels to a large extent in Bangladesh. The Textile industry is a long chain including raw materials production, complement production, clothing production and so on. SCM concept is made possible as a conventional management tool for all manufactures are to strive to improve their product quality, to reduce their product and service cost and to shorten their product delivery and response time in a highly competitive market. This research developed based on the secondary data, including online databases, journals, review papers, etc. The effective SCM of textile industry include lower inventories, lower costs, higher productivity, greater productivity, greater agility shorter lead times, higher profits and greater customer loyalty. This paper encompasses the constraints of textile industry in Bangladesh, including ineffective communication, invisibility of SCM, long lead time, etc. which would unlock further research to develop this sector.

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