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. An operational metric or an operational capability? The role of growth in inventory efficiency growth Author(s):
Pankaj C. Patel (Villanova University, USA),
Andrew S. Manikas (University of Louisville, USA)
Inventory efficiency is used as an operational benchmark in comparing performance against competitors. In this study, we propose extending to inventory efficiency growth over time on performance. Analyzing data from 1,286 US firms from 2003 to 2013 reveals that firms with significant improvements in inventory efficiency over time realize higher performance. Marketing efficiency, operational slack, and negative sales surprise negatively affect inventory efficiency growth. Overall, to realize higher performance, managers must aim to improve inventory efficiency growth over time and manage three levers of marketing efficiency, operational slack, and negative sales surprise.
2. CAN IMPROVED TRANSPARENCY REDUCE SUPPLY CHAIN RISKS IN CLOUD COMPUTING? Author(s):
Olusola Akinrolabu (Department of Computer Science, University of Oxford, UK),
Steve New (Said Business School, University of Oxford, UK)
As organisations move sensitive data to the cloud, their risk profile increases due to the integrated supply chain utilised in cloud computing. The risk is made visible in situations where a cloud offering is federated, with customer data located in multiple datacenters, under the control of multiple providers and sub-providers in different jurisdictions. This problem is further exacerbated by the disposition of cloud providers to keep details of suppliers, data location, architecture, and security of infrastructure confidential from the cloud customers. As such, the shallowness of transparency amongst cloud providers makes it difficult for customers to assess the risk of cloud adoption. In this study, we report on our research into finding out how much customers know about their supply chain. We evaluate the transparency of cloud providers based on their published information and determine the resultant risk of limited visibility of the supply chain. In the course of the research, we identified eight transparency features, which, at a minimum, cloud providers should make available to their current or prospective customers, which we argue had no adverse impact on the competitiveness or profitability of the provider. The study concludes that ultimately, cloud supply chain transparency remains a customer-driven process.
3. Feasibility of nearshoring European manufacturing located in China to Russia Author(s):
Yulia Panova (Department of Logistics and Supply Chain Management, National Research University Higher School of Economics, St. Petersburg 190121 Russia),
Per Hilletofth (Department of Industrial Engineering and Management, School of Engineering, Jönköping University, P.O. Box 1026, SE-551 11, Jönköping, Sweden)
The purpose of this study is to identify and analyze factors that support nearshoring of offshored European manufacturing located in China to Russia. The attention is paid to factors, such as labor cost, inflation, exchange rate, and labor productivity that are analyzed based on deterministic models to identify logical dependencies. This study shows that wage growth might deprive manufacturing in China from its main competitive advantage of cheap labor in the forthcoming years. The growing wage rates naturally contribute to the prime cost that is aggravated by the potential inflation, which, in turn, limit the margin in the selling price. The cumulative effect of other extra costs can aggregate such an amount that, in the foreseeable future, companies would need to relocate manufacturing to new locations. One option could be to nearshore manufacturing to Russia.
4. DURATION OF COLLABORATION FROM A MARKET PERSPECTIVE: AN AGENT-BASED MODELING APPROACH Author(s):
Niniet I. Arvitrida (Nopember Institute of Technology, Indonesia),
Antuela Tako (Loughborough University, UK),
Duncan A. Robertson (Loughborough University, UK),
Stewart Robinson (Loughborough University, UK)
Maintaining a long-term partnership with a supplier is considered an effective strategy to achieve collaboration success in supply chain management (SCM). However, individual companies find that this approach does not always improve business performance. In this paper, an agent-based model (ABM) is developed to investigate the effect of duration of collaboration on supply chains from a market perspective. The model represents two-stage supply chains of an innovative product market, involving suppliers and manufacturers. The model outputs are measured by the rate of demand fulfilment and the number of supply chains which can survive in the market. The results show that duration of collaboration has no significant impact on both demand fulfilment and survivability of supply chains. This finding contradicts the common belief held in the literature about the benefits of long-term collaboration, but it corroborates examples encountered in practice. This study provides new insights to the practice of supply chain collaboration by taking a market perspective. The results show that a longer duration of collaboration does not provide a significant improvement to the supply chain's competitiveness from a market point of view, in terms of demand fulfilment and supply chain's ability to survive over the long-term. The implications of this finding to practice are discussed in the paper.
5. A TIME-DEPENDENT VEHICLE ROUTING ALGORITHMS FOR MEDICAL SUPPLIES DISTRIBUTION UNDER EMERGENCY Author(s):
Tsai-Yun Liao (National Chiayi University, Taiwan),
Ta-Yin Hu (National Cheng Kung University, Tainan, Taiwan),
Yu-Wen Wu (National Cheng Kung University, Tainan, Taiwan)
On 27 June 2015, flammable starch-based powder exploded at Formosa Fun Coast, a recreational water park in Bali, New Taipei, Taiwan, injuring 508 people, with 199 in critical condition. During the emergency medical distribution, two processes, casualty transportation and relief distribution, are poorly coordinated and performed. The medical relief distribution process can be described as vehicle routing problems with pickup and delivery under time-windows (VRPPDTW). Under Intelligent Transportation Systems (ITS), information can be gathered from roadside surveillance systems to design efficient and effective routes for medical relief distribution. In this study, a time-dependent VRPPDTW formulation is constructed based on the concept of step function and a solution algorithm is proposed to solve the VRPPDTW problem. Numerical experiments based on a city network with three hospitals are used to illustrate the proposed algorithms under different levels of traffic conditions.
6. Supply Chain Risk Classification Schemes: A Literature Review Author(s):
Manoj Hudnurkar (Symbiosis Centre for Management and Human Resource Development, India ),
Sujeet Deshpande (Symbiosis Centre for Management and Human Resource Development, India ),
Urvashi Rathod (Symbiosis Centre for Information Technology, India ),
Suresh Jakhar (Indian Institute of Management, Rohtak, India)
The objectives of this paper are to review journal articles published between 2003 and 2015 related to supply chain risk sources, with a view to list and define supply chain risk sources identified by various researchers and critique the various supply chain risk classification schemes. For the purpose of this literature review, we adopted themethodology of a content analysis based literature review. Towards this end a conceptual risk classification framework was defined and supply chain risks identified by various researchers mapped into it. An analysis of the surveyed literature revealed the various supply chain risk sources and associated risks identified by the researchers. It is seen that while supply chain risk classification has been done by several researchers, it is not the main focus of area research for a majority of researchers but appears supplementary to other research goals. While the various supply chain risk classification schemes reviewed have sufficient breadth or depth to effectively address the diverse variety of supply chain risks, some important risk sources like product characteristics and returns processing have scope for further research. A new, comprehensive conceptual risk classification framework has been defined for the literature review. The review takes into account the current thinking on concept of risk and supply chain risks.
7. Supply chain management integration in maintenance and repair services sector Author(s):
Arthur deSouza (University of Liverpool, UK),
Abubaker Haddud (University of Liverpool, UK)
The paucity of studies in the field of supply chain management (SCM) focusing on repairing and maintenance operations within the services sector is an undeniable reality. It is important to explore how operations of maintenance and repair services (MRS) are nowadays structured and positioned to understand their contributions to SCM effectiveness. This research explored the integration level between internal functional areas of services organisations and principal business processes of suppliers and customers. The research also identifiedkey barriers faced by SCM practitioners when deployingSCM best practices and models across the repair services providers. The primary data was collected from 89 SCM leaders and managers from organizations working in a Middle-Eastern country through the use of an online survey.The results revealed that there is a significant integration between main business functional areas within MRS operations e.g. management of demand, capacity, resource, and delivery. Also, the study also revealed that services performance, services network, information flow, services production, and product developmentwere not fully explored. Additionally, crucial SCM functions of service production, reverse logistics, and research and development were also not fully exploited and therefore are preventing local MRS operations from generating additional valuesfrom quality control, management of products lifecycle, and development of new services solutions. The study also revealed that organizational cultures, resources availability, lack of vision and comprehension from top management, and absence of trust and collaboration within SCM participants are the main obstacles associated with the deployment of models and SCM best practices within repairing services operations.
8. The Adopting of Markov Analysis to Forecast the Operations Competitive Advantages of Mobile Phone Service Providers: The Case of Jordan Author(s):
Yazan Khalid Abed-Allah Migdadi (Yarmouk University, Jordan )
The aim of this paper is to adopt the Markov analysis to forecast the operations competitive advantages of mobile phone service providers in Jordan. Three service providers were investigated. The secondary data of each service provider over the period (2005-2010) was used for the purpose of study. The Markov analysis was used to develop the series of forecasted competitive position index for each service provider, and then regression analysis was used to forecast the changes in operations competitive positions. The result showed that; the competitive position leader service provider which is Zain will be improved in term of network coverage, cost of calls services and network accessibility. But the follower (Orange) competitive position will be improved in term of cost of calls services, number of basic and entertainment services. The laggard (Umniah) competitive position will be deteriorated over time. This is the first study which adopts Markov analysis to forecast the operations competitive position. The managers of the corporations in Jordan have a clear insight about their future competitive position. The leader and follower can sustain their position, but the laggard should make further development in order to avoid the deterioration of its position. The scholar can benefit from the methodology of this paper to adopt Markov analysis to forecast the operations competitive position.
9. Sourcing from China: A Literature Review of Motivations, Outcomes, Problems, and Solutions Author(s):
Kristina Kerkhoff (Jönköping University, Sweden),
Kevin Kaul (Jönköping University, Sweden),
Per Hilletofth (Jönköping University, Sweden),
David Eriksson (Jönköping University, Sweden)
Today’s fast changing environment and increasing customers’ demands require that companies focus on efficiency along the entire supply chain. In order to achieve competitiveness, global sourcing is a common strategy. Especially sourcing from China is an accustomed practice and the topic of discussion by various academics and practitioners. Even though this topic is discussed extensively in literature, little focus is put on motivations, outcomes, problems and solutions when sourcing from China.The purpose of this study is to explore and analyze sourcing from China sourcing with regard to motivations, achieved outcomes, experienced problems as well as solutions to the problems. The results showed that it is crucial to recognize the importance of problems that can occur during global sourcing processes. As to achieve the desired outcomes, it is vital that companies address the problems by developing appropriate solutions. Motivations, outcomes, problems and solutions contain essential aspects that have to be considered and worked upon during a global sourcing process.
10. Drivers of Outsourcing and Selection Criteria of 3rd Party Logistics Service Providers Author(s):
Habibullah Khan (Khadim Ali Shah Bukhari Institute of Technology, Karachi Pakistan),
Syed Karamatullah Hussainy (Khadim Ali Shah Bukhari Institute of Technology, Karachi Pakistan),
Kamran Khan (Khadim Ali Shah Bukhari Institute of Technology, Karachi Pakistan),
Abdullah Khan (Khadim Ali Shah Bukhari Institute of Technology, Karachi Pakistan),
Umer Farooq (Khadim Ali Shah Bukhari Institute of Technology, Karachi Pakistan)
Previously various studies were conducted concerning the outsourcing and selection of 3PL in different countries but this study aims to find out the reasons of outsourcing and selecting a 3PL from the different industries of Pakistan. The study aimed to collect the data from the manufacturers working in different industries in Pakistan. The researchers have used mean testing to rank the factors as per their importance and the data of 125 respondents were gathered for analysis. Study has found that reduction in the logistics costs is the most important reason for outsourcing 3PL and service quality is the most crucial factor for the selection of any 3PL service providers in Pakistan.
11. Modeling Enterprise Risk management in Operations and Supply Chain: A Pharmaceutical Firm Context Author(s):
Chris I. Enyinda (Canadian University Dubai, Dubai, UAE)
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.
12. 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)
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.
13. PURSUING SUSTAINABILITY VIA REVERSE LOGISTICS: THE SYMBIOSIS EFFECT BETWEEN THE LOCAL AUTHORITIES AND HOUSEHOLDERS Author(s):
Emy E. A. Jalil (University of Utara Malaysia)
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.
14. 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)
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.
15. 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)
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.
16. An Improved Efficient Algorithm for Time Dependent Vehicle Routing Author(s):
Xin W. Chen (Southern Illinois University Edwardsville, USA)
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.
17. 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)
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.
18. 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)
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.
19. USE OF QUANTITATIVE AND QUALITATIVE METHODS FOR MODELLING GREEN SUPPLY CHAINS Author(s):
Blanka Tundys (University of Szczecin, Poland)
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.
20. 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)
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.