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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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Determining the Optimal Number of Cluster Suppliers under Supply Failure Risks Lee, Shyh-Hwang
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.159 KB)

Abstract

As the risk of supply disruption becomes an important concern for a purchasing company, determining the optimal number of suppliers becomes a top priority in making purchasing decisions to address the supply risk to the manufacturer’s operation. Furthermore, the recently increasing co-location of dedicated supplier clusters has been observed for wider development to reduce supplier numbers, increasing geographical proximity within supply chain networks However, previous studies only discussed the risks of supply disruption in terms of super and unique events, neglecting the probability of the occurrence of a localised semi-super event, which can disrupt all suppliers in a specific geographical location. The present study extends the existing models, allowing a more realistic decision-making process according to the optimal number of cluster suppliers by considering the partial loss associated with independent supply risks in specific geographical regions, which constitute the important components of the overall supply disruption risk. Model comparison and sensitive analysis are conducted on the proposed model. The results indicate that the optimal solution is significantly influenced by the supplier failure probabilities in geographical regions when the ratio of loss versus variable operational cost increases.
A Multi-objective Stochastic Programming Model for Order Quantity Allocation under Supply Uncertainty Xiaobing Liu; Zhancheng Li; Li He
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.159 KB)

Abstract

One of the basic and significant subjects in supply chain management is purchasing and supply management, in which supplier selection and order allocation occupy the critical position. Recently, it has been shown that supply uncertainty is of great concern to supply chain managers and practitioners. In this paper, by taking the constraints of minimum purchasing quota and minimum production batch into account, a multi-objective mixed-integer stochastic programming model considering uncertainty in both supply timing and quantity is presented. By means of transforming the stochastic constraints into deterministic equivalents, the model is converted into a linear programming model. An improved two-phase heuristic approach is proposed and its feasibility and efficiency is illustrated through a numerical example. Further, another numerical instance is conducted to evaluate the effects of the weight of each objective and uncertainty degree on the optimal order policy and to obtain some managerial insights for the decision-making of the manufacturers.
Proposal of a Stochastic Programming Model for Reverse Logistics Network Design under Uncertainties Berk Ayvaz; Bersam Bolat
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.159 KB)

Abstract

In recent years, Reverse Logistics (RL) has received increasing attentions in supply chain management area due to the economic, political, and environmental reasons. The aim of this study is to address Reverse Logistics Network Design (RLND) problem under return quantity and quality uncertainties to minimize total cost. Uncertain parameters are one of the challenging characteristics of RL networks. In this paper, a generic two stage stochastic programming model to cope with uncertainties in RLND is presented. The usefulness of the proposed model was validated by its application to third party electrical and electronic equipment recycling firm in Turkey. The results show that the presented two stage stochastic programming model provides good solutions to make efficient decisions under quantity and quality uncertainties. In this paper, we contribute the RLND literature by considering return quantity and quality, which is related to sorting ratio in sorting centers, uncertainties in presented model. Second contribution is to present generic recycling model with multi-product, and multi-stage for third part RL firms.
Bullwhip Effect Variance Ratio Approximations for Aggregated Retail Orders in Supply Chains Akram Amine El-Tannir
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

This paper develops two approximations to estimate the variance of aggregated retailer orders that is a form of the widely recognized Bullwhip effect, using the renewal theory and available Markov chain models for the two-echelon supply chain. These approximations are used to develop several managerial insights on inventory policies used by retailers who make replenishment orders to a supplier that uses a periodic review inventory policy where market demand is assumed to be based on Poisson market orders.
Gaining Competitive Advantage through Strategic Green Supply Chain Management: From a Literature Review towards a Conceptual Model S. Maryam Masoumik; Salwa Hanim Abdul-Rashid; Ezutah Udoncy Olugu
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.159 KB)

Abstract

The link between green supply chain practices (GSCPs) and competitive advantages (CAs) is a subject of growing interest amongst academics and practitioners. Despite the theoretical arguments that environmentally conscious practices would give competitive advantages for companies, there is no consensus in empirical research concerning the positive impact of GSCPs on CAs. Due to this lack of clarity in the literature, this study undertakes a comprehensive review to evaluate the circumstances necessary for GSCPs to achieve sustainable CAs. Subsequently, a conceptual model is proposed to elaborate on the causal relationship between GSCPs and CAs. Future research opportunities are recommended to expand on the proposed conceptual model and to address the shortcomings of the existing literature.
Supply Chain Risk Management: A Review Gurdeep Singh; Nabsiah Abdul Wahid
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Many different entities are responsible for or reliant upon the functioning of the global supply chain, including regulators, law enforcement, public-sector buyers, private-sector businesses, and other foreign and domestic partners; mainly because the global supply chain provides the food, medicine, energy, and products that support our way of life. To do this, the global system relies upon an interconnected web of transportation infrastructure and pathways, information technology, and cyber and energy networks. While these interdependencies promote economic activity, they also serve to propagate risk across a wide geographic area or industry that arises from a local or regional disruption. This paper aims to introduce the concept and framework of supply chain risk management (SCRM) by reviewing the literature. The review emphasises on the definition of each component within SCRM followed by the integration of the components into one of the current models applied by the global supply chain industry.
Stochastic Inventory Control Systems with Consideration for the Cost Factors Based on EBIT Kenichi NAKASHIMA; Thitima Sornmanapong; Hans Ehm; Geraldine Yachi
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Semiconductor manufacturing in the current world is more competitive than ever/ is extremely competitive. Due to a short market life-span and high uncertainty in future demand, Supply chain management is a competitive advantage which plays an important role in today`s global semiconductor industry. A very important consequence of uncertain demand and having long lead time is the great risk of incurring shortages and excessive inventory. This paper con-siders the view of the second tier semiconductor supplier in automotive industries and studies, using the periodic review analysis, a single item single stage inventory system with sto-chastic demand. The values of s (reorder point) and Q (order quantity) are the two decisions required to implement the policy. The lead time is assumed known and constant. The only uncertainty is associated with demand. Assuming hold-ing, production, salvage and backorder costs, we determine the optimal numerical value of the level s (reorder point) using a simulation approach, and thus define the optimal inventory policy to minimize the total expected inventory cost while being able to achieve the desired customer service levels.
The Optimal Inventory Policy with the Reusable Raw Material and Imperfect Items Shou-Mei Su; Chia-Jung Chou; Shy-Der Lin
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.159 KB)

Abstract

This paper covers four topics regarding inventory models, namely reusable raw material, the EPQ model, imperfect-quality items, and the present value method. The relevant cost value used in traditional EPQ models does not include the stockholding cost of raw material, which makes such models unsuitable for investigating production. Because people in the world are attempting to reduce the impact of environmental impairment and increasing market competition, all products are manufactured from 100% reusable raw material and are screened during the manufacturing process. By taking the fixed proportion of imperfect-quality items and the time value into account and applying the present value method to analyze optimal inventory policies, this study creates a modified EPQ inventory model that is close to real life we meet. Furthermore, this model aims to promote the reputation of a company and ascertain its costs accurately.
Reverse Logistics Supply Chain Network Design: Models and Issues Luitel, Prabesh; Lieckens, Kris; Vandaele, Nico
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.159 KB)

Abstract

Environmental concern from customers, government and international institution such as EU and others urge the manufacturer to take back their products after use. We address eight different network design configurations from which the manufacturer can select the design for their reverse logistics system based on their requirements. The dominant literatures on reverse logistics network design are based on mixed integer program model and few center around subjective decision making approach like analytic hierarchy process, but none has integrated both approaches in the same context. In this paper, we explore two different methodologies- mixed integer program model and analytic hierarchy process, for the same business scenario using the real data and further conduct the extensive sensitivity analysis for three levels of volume i.e. high, medium and low. In addition, we discuss practical implications of our findings from two different methodologies and we provide insights on network design for reverse logistics system.
A Grey System for the Forecasting of Return Product Quantity in Recycling Network Ayvaz, Berk; Bolturk, Eda; Kaçtıoğlu, Sibkat
International Journal of Supply Chain Management Vol 3, No 3 (2014): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.159 KB)

Abstract

Reverse Logistics (RL) has gained much attention in recent years due to economic, social and governmental reasons. For firms, it has become essential to manage the reverse flow of materials in an efficient way to gain competitive advantage. One important aspect of RL is to provide a correct and timely estimation of return waste product quantity. Improved forecast accuracy leads to a better decision making in strategic, tactic and operational areas of an organization. Intrinsic and extrinsic forecasting are some of the well-known and frequently used forecasting techniques to predict return product in RL networks. In this study, we presented a grey forecasting system to predict return waste product quantity in RL network. To the best of our knowledge, this study is the first in return product forecasting literature by using grey system to predict return quantity. Solutions showed that grey forecasting system is very efficient to predict return quantity.

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