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. Modeling Enterprise Risk management in Operations and Supply Chain: A Pharmaceutical Firm Context

Author(s):
Chris I. Enyinda (Canadian University Dubai, Dubai, UAE)

Abstract:
The growing prevalence of disruptive influences in modern operations and supply chains has called for a systematic approach to identify risk sources and to develop predictive enterprise risk management. This imperative has become a top priority for many organizations such as the Pharmaceutical industry. This paper leverages a multi-criteria decision making methodology to model enterprise risk management in a focal pharmaceutical firm operations and supply chain. Six types of risks and five strategies are considered and analyzed. Results suggest that supply chain executives attach great importance to regulation/legislation, followed by operational, and reputation risks, while financial, market, and relationship risks ranked low in importance. With respect to enterprise risk management strategies, risk reduction/mitigation was considered the best option followed by risk avoidance option. From the results, it appears that multi-criteria decision making methodology can be used to assist supply chain executives in developing a priority hierarchy for risk management strategies. It can also help the management with a step-by-step approach to identify, assess, and manage portfolio of risks that can be detrimental to their pharmaceutical supply chain performance, brand equity, profit growth, and shareholder value.

2. A Study on the Maritime Transport Network Design under Different Charter Rates: the Case of LNG Transport between Qatar & Turkey

Author(s):
Salem Y. Lakhal (University of Moncton, Canada)

Abstract:
Many indicators show that the total global LNG demand has risen by an estimated 7.6% per year since 2000. Over the same period, the growth is almost three times faster compared to the natural gas growth estimated at 2.7% per year. As a consequence, the number of the LNG tankers trip from and to the production fields and the consumptions area is growing. The challenge is to design a cost efficient maritime route for an LNG tankers. This article investigates: (i) how, the frequent fluctuation of the Bunker price, the Suez Canal tolls, terrorism activities etc. might affect decision of the LNG Tankers maritime routes and (ii)suggest aframework to help the redesign of a maritime transport routes for LNG Vessels. To illustrate this Framework developed, the case of the LNG transport between Qatar and Turkey is analysed with an extension made to a maritime route from Asia to Europe. The paper's contribution to the literature is the development of a routing scheme design achieving LNG handling cost savings from Asia to Europe.

3. PURSUING SUSTAINABILITY VIA REVERSE LOGISTICS: THE SYMBIOSIS EFFECT BETWEEN THE LOCAL AUTHORITIES AND HOUSEHOLDERS

Author(s):
Emy E. A. Jalil (University of Utara Malaysia)

Abstract:
This paper reveals how factors associated with household recycling systems affect household recycling behaviour, and how household recycling behaviour affects the provision of household recycling systems by the local authorities (LA). The main objective is to reveal and explain the interaction and symbiosis effects between household recycling system and household recycling behaviour. Using a mixed methodology stance, the first approach is a qualitative research stage supported the symbiosis effect between the LAs and the householders. The second approach is quantitative research stage employed multiple regression analysis that juxtaposed the existence of interactions between personal factors and situational factors which the representation of LAs and the householders respectively. Finally, co-examination between the first and second stages revealed the need to use symbiosis effect perspective in understanding backward movement between householders and household recycling waste systems. This study has found that a "symbiosis effect" perspective appears to be a robust framework to bring together effective household waste recycling systems and sustainable development considerations to enhance both sustainability and the economy. Further, the study provides empirical evidence examining both situational and personal factors of households and their interactions, which were previously not well-understood. This study has incorporated behavioral aspects in the reverse logistics process that should help improve the LAs’ planning processes.

4. Role of Big Data in Decision Making

Author(s):
Shirish Jeble (IBS Business School, Pune, India),
Sneha Kumari (Symbiosis International University, Pune, India),
Yogesh Patil (Symbiosis International University, Pune, India)

Abstract:
Information systems coupled with internet, cloud computing, mobile devices and Internet ofThings have led to massive volumes of data, commonly referred as big data. It includes mix of structured, semi-structured and unstructured real time data, constituting of data warehouse, OLAP, ETL and information. Business firms and academicians have designed unique ways of tapping value from big data. There is a great scope of using large datasets as an additional input for making decisions.The aim of the paper is to explore the role of big data in these areas for making better decisions. Here we explore how big data can be used to make smart and real-time decisions for improving business results. The paper undergoes literature review and secondary data to provide a conceptual overview of potential opportunities of big data in decision making. The paper discusses the concept of big data, its role in decision making and also the competitive advantage of big data for different firms. The paper also discusses a framework for managing data in decision making.The topic must be addressed for taking better decisions for firms which will contribute to high quality knowledge.

5. Logistics Capability, Supply Chain Uncertainty and Risk, and Logistics Performance: An Empirical Analysis of Australian Courier Industry

Author(s):
Michael Wang (RMIT University, Australia),
Ferry Jie (Edith Cowan University, Australia),
Ahmad Abareshi (RMIT University, Australia)

Abstract:
The purpose of this paper is to examine the applicability of logistics capability for mitigating supply chain uncertainty and risk and improving logistics performance in the Australian courier industry. Based on the resource-based view, a quantitative research study is designed to investigate the relationships among three latent variables: logistics capability, supply chain uncertainty and risk, and logistics performance. Structural equation modelling is used to analyse the data. The results indicate that there are significant relationships between logistics capability, supply chain uncertainty and risk, and logistics performance. The results provide insights into supply chain uncertainty and risk management. This paper provides empirical support for the resource-based view as it applies to mitigating supply chain uncertainty and risk management in the Australian courier industry. These findings suggest that managers might develop and deploy logistics capability to support and enable supply chain risk management strategies.

6. An Improved Efficient Algorithm for Time Dependent Vehicle Routing

Author(s):
Xin W. Chen (Southern Illinois University Edwardsville, USA)

Abstract:
A universal challenge in solving a variety of vehicle routing problems (VRPs) is the exponential increase of computation time when the number of entities such as roads, vehicles, and destinations increases. This article studies a class of VRPs in which multiple vehicles located at different locations are dispatched to multiple destinations. Real time VRP in large road networks with time dependent travel time remains a challenge because computation time for the optimal vehicle routes and assignment increases significantly as the size of road networks increases. This article (a) applies a shortest path algorithm with arc labelling to reduce required computer storage space; (b) develops a revised Hungarian method to minimize the latest arrival time and total travel time; and (c) uses appropriate computer programs and tools to reduce computation time for optimal vehicle routing. The algorithm developed in this article identifies the optimal vehicle routes and assignment in six minutes for large and dense road networks.

7. Development of a Disaster Relief Logistics Model Minimizing the Range of Delivery Time

Author(s):
Kei Kokaji (Tokyo Metropolitan University, Japan),
Yasutaka Kainuma (Tokyo Metropolitan University, Japan)

Abstract:
On March 11, 2011, the Great East Japan Earthquake (GEJE) attacked the North-Eastern Parts of Japan and the scale of the earthquake was the largest in recorded history in Japan. Despite Japan’s great efforts in this disaster relief operation, relief goods did not reach the affected area. Managing disaster relief operations in the disaster situation like the GEJE is complex. Therefore, it became clear that the logistics system in the situation of a disaster had a lot of problems. In disaster situation like the GEJE, organizing the relief supply operations to afflicted people can be efficiently conducted. There are many disaster relief operations issues that need to be considered and resolved through logistics. Especially, it is very important that the distribution to the many victims is conducted equally. In this study, from the point of flow of distribution relief goods to the victims, we focus on the relationship between the shelter and the secondary collection point. The purpose of this study is to propose a logistics model that achieves the fair distribution for the many victims from the view point of the difference of the arrival time. In the earthquake, there were many routes that were unavailable and there was a limit to the number of cars that was available because of shortage of fuel. While considering these phenomena, we propose the logistics model that minimizes the range of the delivery time that the victims received relief goods from the transportation vehicles. Finally, in order to confirm the effectiveness of the proposed model, we perform the numerical experiments using the data of the Great East Japan Earthquake and the efficiency of the model is confirmed.

8. Understanding Intra-organisational Information Dependency: An Empirical Network Analysis of Vietnamese Freight Forwarding Industry

Author(s):
Leon Teo (RMIT University, Australia),
Duy Dang-Pham (RMIT University, Australia),
Mathews Nkhoma (RMIT Vietnam, Vietnam),
Thuy Nguyen (RMIT Vietnam, Vietnam)

Abstract:
The use of timely, accurate, and relevant information is crucial for supply chain performance. Within business firms, executives and managers depend on demand and inventory data to make decisions for business operations. In this technological era, many firms are reliant on technological platforms to share mission critical information between their business units to prevent bullwhip effect due to information lag, and to improve coordination and collaboration among the units. Extant literature reveals that there is a strong research emphasis on information sharing practices between firms, and little on the information sharing practices within the firms for supply chain efficiencies. There is also limited research done to understand the impacts of information quality e.g. sharing mechanism, accuracy, timeliness and relevance have on the management of supply chains. Research often tend to focus on information sharing practices in modern businesses that utilises sophisticated IT systems for supply chain management, and neglects the business firms that operating in less developed environments. To investigate implications of information quality on supply chain efficiencies, this paper paper utilises social network analysis (SNA) to study information flows in the firms that operate in the Vietnamese freight forwarding industry.

9. USE OF QUANTITATIVE AND QUALITATIVE METHODS FOR MODELLING GREEN SUPPLY CHAINS

Author(s):
Blanka Tundys (University of Szczecin, Poland)

Abstract:
Interest in the field of the development and implementation of the principles of green supply chains is increasing. Among theorists and practitioners of management, they are seen as a new trend and an innovative strategy. Ever-increasing customer requirements, the development of economies in the direction of closing the loop and the depletion of resources lead to a situation in which innovative solutions (including green supply chains) should be implemented. Qualitative and quantitative tools are used to assess their operations. This paper focuses largely on aspects of quantitative statistical methods that are used to assess individual elements of a supply chain, as well as a holistic approach to the evaluation of the entire chain. The methods that were chosen are an attempt to build a framework for a model and determine which of the tools are used in practice. The analysis includes an indication of the advantages, as well as the limitations, of the use of particular instruments. The second part of the paper includes an analysis of qualitative tools, devoting particular attention to tools and instruments from the area of management.

10. An Integrated Lean Supply Chain Framework For U.S. Hospitals

Author(s):
Subhajit Chakraborty (Coastal Carolina University, USA),
Jorge A. Gonzalez (The University of Texas Rio Grande Valley, USA)

Abstract:
We apply a lean supply chain framework to the healthcare industry in the U.S., drawing support from lean systems philosophy. We conceptualize a view of the U.S. healthcare ecosystem that places a hospital and its admitted patients at the center and describes how all entities inside and outside the hospital work can implement lean principles to improve patients' quality care. This application depicts how a holistic consideration of hospital resources available in both the internal and external supply chain would increase the optimal use of such resources and would ultimately serve patients. We offer propositions suggesting that an integrated supply chain perspective would be helpful for delivering high quality of care to patients admitted to the hospital. This perspective suggests that hospitals need to streamline the three types of flows–physical product, information and financial–with elements in the internal supply chain and maintain collaborative relations with entities in their external supply chain. We discuss theoretical and practical implications of our research.