List of Forthcoming Journals

The journals in the list below have been accepted for publication in Operations and Supply Chain Management: An International Journal. We are currently in the process of assigning each of these entries into our upcoming issue. Once published, you can access the corresponding article for free through our repository. Please feel free to contact us via Contact Us page or our email for any inquiries.


1. Supply Chain Risk Assessment: a fuzzy AHP approach

Author(s):
Kunal K. Ganguly (Indian Institute of Management, Kashipur),
Gopal Kumar (Indian Institute of Management, Raipur)

Abstract:
Managing supply chain risk is a big challenge for any organization. The purpose of the paper is to provide a methodology for assessing supply chain risk using the Fuzzy based Analytic Hierarchy Process (Fuzzy AHP). This study presents a comprehensive study to identify the Risk Factors (RFs) in supply chain and evaluate them. In this paper, sixteen risk factors were identified based on extensive literature survey. To limit the scope of the work, focus was on transaction and infrastructural risk and avoiding the demand risk. The RFs are formulated as hierarchy structure and Fuzzy AHP as a Multi Attribute Decision Making (MADM) tool applied to judge the viable candidates. A revised risk matrix with a continuous scale was proposed to assess the RFs classes. The result classifies the RFs in different categories (Extreme, High, Medium and Low). Based on this result, some management implications and suggestions are proposed. The revised risk matrix with continuous scale for risk assessment in supply chain is a novel approach.

2. Supply Chain Integration, Learning, and Agility: Effects on Performance

Author(s):
Habibullah Khan (Iqra University, Karachi, Pakistan),
Joel D. Wisner (University of Nevada, Las Vegas , USA)

Abstract:
This study examines the interrelationships among supply chain integration, learning, agility and organizational performance. Survey data were collected from 257 publicly-owned companies in Pakistan, and the hypothesized framework was tested using a structural equation model. It was found that supply chain integration had a significant impact on external and internal learning. Additionally, supply chain integration was found to have an insignificant impact on firm performance and supply chain agility. Finally, internal learning was found to have an insignificant impact on supply chain agility, but a significant direct impact on firm performance, while external learning had an insignificant impact on firm performance both directly and indirectly.

3. Shelf-space allocation model with demand learning

Author(s):
Kazuki Ishichi (Waseda University, Japan),
Shunichi Ohmori (Waseda University, Japan),
Masao Ueda (Waseda University, Japan),
Kazuho Yoshimoto (Waseda University, Japan)

Abstract:
In this paper, we studied the shelf-space allocation problem (SSAP). It is quite common recently to implement product design during a selling season and drastically change assortment decisions based on shelf-space allocation in response to up-to-date demand observations. While there are many literatures related to SSAP, However, existing literature assume that the demand is stationary. In this paper, we propose a dynamical framework to make shelf-space display decisions, in which space elasticity and potential demand are sequentially estimated using the latest data containing display space and sales for each product.

4. Analysis Of The Job Preferences For Undergraduate Supply Chain Students

Author(s):
Michael S. Garver (Central Michigan University),
Sean P. Goffnett (Central Michigan University),
Zachary Williams (Western Michigan University),
Richard L. Divine (Central Michigan University),
Connor F. Davis (Independent)

Abstract:
The development of an effective recruitment strategy that attracts and secures entry-level logistics talent is essential to maintain corporate performance. To accomplish this, firms need to understand the attribute importance as well as the preferences of job applicants so that information can be used to develop more attractive job offers. To better understand job choice, choice based conjoint analysis was used. Key variables and their corresponding levels of interest in job choice were determined and presented to job seekers. Results of the current study indicate that for university undergraduate supply chain students, the three most important attributes used to evaluate entry level job positions are starting salary, fit with company culture and proximity of the worksite to friends and family. The results also show a preference for worksites located in the suburbs, in an office setting and for manufacturing firms. Below average preference was expressed for worksites in rural areas, those with lots of travel and firms in the retail and wholesale sectors. Implications for firms, educators and students are discussed.

5. Inventory control policies for substitutable deteriorating items under quadratic demand

Author(s):
Nita H. Shah (Gujarat University, Ahmedabad, India),
Urmila Chaudhari (Government Polytechnic Dahod, India),
Mrudul Y. Jani (Parul University, Gujarat, India)

Abstract:
In today’s busy life, no one has sufficient time to buy or bargain any type of products. It is common in such cases that customers, who are looking for purchasing a certain product, will be willing to substitute with a comparable product when facing a stock-out, rather than visiting a different store to bargain the original product. In this article, we study an inventory control problem in which demand is fulfilled by using two similar substitutable items. Retailer fulfilled demand of one product by other substitutable product when stock-out of the one of them. We consider inventory levels of both of the items and time dependent demand. The orders for both products are placed at the same time. Our objective is to maximize joint profit for two substitutable deteriorating items with respect to cycle time and a time at which one product is stock-out. The numerical analysis is carried out based on the analytical results. The critical inventory parameters are computed for the decision maker.

6. Supply Chain Integration: Does Organizational Culture Matter?

Author(s):
Mary G. Porter (University of Phoenix, USA)

Abstract:
The purpose of this quantitative correlational study was to identify relationships between organizational culture types, supply chain integration, and firm performance. The study process included obtaining data from 201 supply chain professionals and procurement specialists working in various companies throughout the United States. Supply chain integration data and firm performance derived from results obtained from participants completing a 5-point Likert-type scale survey. The Organizational Culture Assessment Instrument was used to determine organizational culture types. Results indicated a significant correlation between supply chain integration and firm performance. All three integration variables, customer, supplier, and internal were significantly and positively correlated with total integration and firm performance. Results also indicated that supply chain integration increased when organizational flexibility was present. Unexpectedly, both clan and adhocracy cultures were significantly correlated to supply chain integration and firm performance. The results from this study added to literature and provided supply chain managers practical knowledge of the significant influence organizational culture can have on supply chain integration performance. Results of this study substantiate that a flexible organizational structure, as shown in the clan and adhocracy cultures, increases supply chain integration and firm performance. As competitive forces intensify, the need for firms to develop a flexible organizational structure to leverage supply chain integration practices will increase. The results of this research could provide organizational leaders more insights into increasing supply chain integration efforts and improved firm performance through flexible culture alignment.

7. Analysis of Multi-objective Decision Problems in Humanitarian Supply Chains

Author(s):
Takeo Kobayashi (Ricoh Company Ltd., Japan),
Yacob Khojasteh (Sophia University, Japan),
Yasutaka Kainuma (Tokyo Metropolitan University, Japan)

Abstract:
In humanitarian supply chains, there is a need to consider how to distribute the limited relief supplies that have not been prepared sufficiently to each shelter. Different from commercial supply chains that prioritize cost reduction, in humanitarian supply chains, it is important to consider not only reducing the distribution cost but also how to deliver goods quickly to satisfy the demands of shelters. Three metrics have been proposed for humanitarian supply chains: efficiency, equity, and efficacy. The objective of this paper is to define the metric of efficacy to minimize distribution time to each shelter considering the relief goods arrival. Under the situation after the disaster, to supply relief goods agilely and fairly, it is necessary to take account the weight of each metric adequately. We formulate a multiobjec-tive mathematical model by the multiple metrics and carry out the optimization by using the model. The results show that the proposed multi-objective model is very promising in dealing with complicated humanitarian supply chains. Additionally, we show the deviation between the result of each metric and the multi-objective evaluation.

8. A shopping-path length estimation using Markov-chain-based shopper dynamics model

Author(s):
Shunichi Ohmori (Waseda University, Japan),
Masao Ueda (Waseda University, Japan),
Kazuho Yoshimoto (Waseda University, Japan)

Abstract:
We propose a framework of estimating shopping-path length, in which the floor is represented by the graph G(V,E) with a vertex set V and an arc set E and the shopping-path length is measured by the number of zones (vertices) shoppers visit. We used the Markov-chain to model the dynamics of distribution of shoppers on the vertecies in the graph. We derive the (discrete) probability distribution of shopping path length using the transition matrix in the Markov-chain, and derive the expected path length. We proposed the index called the improvement importance index to quantify how local changes in the transition probability affect the entire shopping path length. We have tested our framework to the test data from an industrial application and the estimated path-length is compared to the actual one. We have a result that the error of estimation is 0.2%.

9. An evaluation of order-picking tour efficiency in two-block warehouses

Author(s):
Ömer Öztürko?lu (Ya?ar University, Bornova, Izmir, Turkey),
Deniz Ho?er (Bornova, Izmir, Turkey)

Abstract:
This study investigates the effects of critical operational and strategical decisions in order-picking warehouses on order pickers’ tour lengths. For this study, one of the most-commonly applied layouts in practice, called two-block layout with a central cross aisle, was considered. A full factorial experimental design and multiple-comparisons (Bonferroni t-tests) were applied to statistically determine the significance of various levels of storage policies, pick-list sizes, warehouse shape ratios, warehouse sizes and their all interactions on average tour length. The analysis showed that deeper storage areas were superior to wider areas in small- and medium-sized warehouses. Warehouse designs with a 1:1 width-to-depth shape ratio offered the most robust layouts. Within-storage aisle policy significantly reduced order-picking tour length and generally outperformed other storage policies.