International Journal of Advanced Operations Management (8 papers in press)
Analysis of Barriers hindering the implementation of Reverse Supply Chain(RSC) of Electronic Waste (E-waste) in India
by Karishma Chodhary, Kaliyan Mathiyazhagan, Prem Vrat
Abstract: India is the fifth biggest producer of E-waste across the globe but still 95% of the E-waste in India is handled by the unorganized sector in an unscientific way severely impacting the environment and health. E-waste consists of toxic as well as valuable materials. Therefore, closing the loop of E-waste supply chain will have many social, economic and environmental benefits. This study aims to identify and analyze the barriers hindering the effective and efficient implementation of Reverse supply chain (RSC) of Electronic waste (E-waste) in India. Identification of the barriers is based on a comprehensive literature review and interaction with the experts. Interpretive Structural Modeling (ISM) methodology has been utilized to find out the mutual influences among the barriers and to stratify the barriers into four clusters namely: Autonomous, Dependent, Linkage and Independent. The analysis reveals: Legal issues, Lack of awareness as the major barriers which have the maximum driving power and act as Independent barriers. The study provides very useful insights to facilitate policy decisions to promote E-waste recycling in India like implementing monitoring and control systems across the E-waste supply chain, need for a dedicated E-waste agency to coordinate the E-waste activities, coordination among major stakeholders involved like consumers, collectors, producers, recyclers, manufacturers, tax exemption for recycling processes etc.
Keywords: E-waste; Barriers; Drivers; Interpretive structure modeling; Transitivity; Reverse Supply Chain.
A novel method to handle route failure in Fuzzy Vehicle Routing Problem with Hard Time Windows and uncertain demand
by Sandhya Bansal, Rajiv Goel, Vijay Katiyar
Abstract: In this paper, a fuzzy vehicle routing problem with hard time windows (FVRPTW) having uncertain demand is addressed. Since customers demand is assumed to be known only upon arrival at customer location, a planned route may fail to meet realized demand of customer. This situation is known as route failure. Instead of adopting simple recourse methods to handle route failure, this paper proposes a novel method titled non restocking to solve route failure. The problem is formulated as a two stage recourse model with an objective of minimizing the total cost and at the same time maximizing the obtained sale in a competitive environment. Uncertainty in demand is represented by fuzzy numbers. Route construction for the modeled problem is done by Ant Colony System. The computational results show that the proposed two stage model with the proposed new recourse scheme produces high quality solutions. Benefits of the proposed method are demonstrated by applying it to milk routing problem.
Keywords: Vehicle Routing Problem with time windows (VRPTW); Fuzzy theory; Uncertain demand; ACO; route failure; recourse policy.
Strategies of Light Vehicle Manufacturers in South Africa Based on Supply Chain Decision Drivers
by Intaher Marcus Ambe
Abstract: This article seeks to determine supply chain strategies of light vehicle manufacturers in South Africa based on the decision drivers. A descriptive research design was employed, and the study was based on a survey of vehicle manufacturers in South Africa. The results revealed that decision drivers such as production, inventory, location, information, transportation, sourcing and pricing are vital in determining supply chain strategies. The results also indicated that both lean and agile supply chain practices are evident in the South African automotive industry. With regard to the decision drivers, all the light vehicle manufacturers in South African employed a lean supply chain strategy, while a few of the manufacturers employed an agile supply chain strategy (leagility). There was also a mismatch between strategies and practices in relation to the decision drivers, as in some instances, they were not always in line with the chosen supply chain strategies. It is therefore imperative for South African supply chain managers to understand their customers needs and to choose and implement the right decision, in order to ensure alignment between the drivers and supply chain strategy to satisfy customer demands. By making optimal decisions, light vehicle manufacturers in South Africa can strategically position themselves for competitive advantage and continuous improvement.
Keywords: strategies; supply chain; decision drivers; light vehicle manufacturers; South Africa.
DETERMINANTS AND PROBLEMS OF SUCCESSFUL ERP IMPLEMENTATIONS MALAYSIAN EXPERIENCE
by Ahmad Saiful Azlin Puteh Salin, Anuar Nawawi, Nazatul Syida Ahmad Suhaimi
Abstract: This study aims to investigate and analyse factors influencing the success of the implementation of enterprise resource planning (ERP) system and examine any problems associated with its execution by companies. Two companies from the construction and property development industry were selected as case studies. Triangulation of data collection methods which included observation, document analysis, and interviews was employed to gather information from multiple sources. This study found that support from the top management, end-user satisfaction, change management, as well as the reorganisation of business process as the factors that can either lead to the success or failure of the outcome of an ERP system implementation. Lack of support from top management, data quality, and the usefulness of information extracted from the ERP system are the top obstacles that need to be managed by the companies to ensure their return on ERP investment worth every dollar.
Keywords: ERP determinants;ERP problems;Malaysia;construction;property development.
Assessing and modelling transport delays risk in supply chains
by Chokri Lajimi, Amine Boufaied, Ouajdi Korbaa
Abstract: Delay Risk in a supply chain may increase the cost and the execution time, disrupt the reactivity in the processes execution and reduce customer satisfaction. To be competitive, supply chains must be able to analyse and to evaluate, in real-time critical differences between the short-term planned actions and the actual performed actions generating states of undesirable or unacceptable risk. We propose in this paper, an approach for monitoring the dynamic evolution of risk associated to delays affecting the transportation operations. We use a new deployment of the FMECA (Failure Mode, Effects and Criticality Analysis) organized around the dreaded scenarios and allowing a better representation of undesired causeeffect chains associated to the occurrence of critical events. This is a quantification technique to evaluate, at discrete points, the probability of the dreaded scenarios and their effect on the cost. The exploitation of this method is combined with a monitoring mechanism able to supervise the evolution of risk states during the course of operations in a logistic process.
The operating states, involving threats, are represented in a model based on Petri nets. The obtained model is used to reproduce the behavior of the logistic process, and then simulate the progress of their operations both in nominal mode and in degraded mode. The implementation of this approach is performed by monitoring a delivery process faced with delay risks in the transport stream.
Keywords: dynamic risk evolution; risk assessement; risk probability; transport delay; monitoring and supervision; modelling; time Petri net; supply chain; risk management; performance indicators.
Analysis of Success Factors for a New Product Development Initiative in Indian Automotive Industry: An ISM Approach
by Avanish Singh Chauhan, Gaurav Kumar Badhotiya, Gunjan Soni, Ajay Pal Singh Rathore
Abstract: This paper aims at analysing various factors driving towards success of new product development (NPD) initiatives in Indian automotive industry. The present research has been carried out in three phases: identification of factors from the literature, survey of Indian automotive industries, and qualitative analysis using interpretive structural modelling (ISM) for studying the interaction among the factors. The knowledge of dominating success factors, and the adoption of such an ISM-based model of success factors for NPD would assist decision makers and practitioners of new product development in focusing their resources on these major factors while undertaking new product ventures at their organisation. The study is carried out for identifying and analysing the critical success factors for NPD in Indian automotive sector.
Keywords: New product development; success factors; interpretive structural modelling; MICMAC analysis; Indian automotive industry.
Root cause analysis of interruptions in the sinter making process of Integrated Iron & Steel plant
by Alok Kumar Singh, Sandeep Mondal
Abstract: This paper distinctively identify the problems in sinter making in any Integrated Iron and Steel plant. The contributions are unique which may be helpful for the managerial bodies to minimize the production cost. The sinter making process is a very important factor as it significantly affects the quality and production cost of the end product. For production of good quality of sinter, there will be a minimum interruption in the process. However, there are various elements that causes the interruption in sintering process which ultimately affects sinter production. In this paper, we elaborate the different reasons which affect sinter production and discuss the major reasons. Moreover, we intensely investigate the root cause of such reasons by using statistical methods. We also perform the failure mode effect and criticality analysis (FMECA) to find the critical components which adversely affect the sintering process.
Keywords: Statistical analysis; Root cause analysis; Materials Handling; Maintenance; FMECA.
Single-vendor Multi-buyer Vendor Managed Inventory with Discrete Demand and Stockout
by Mehdi Seifbarghy, Ali Pourebrahim Gilkalayeh
Abstract: This paper deals with the operational issues of a two-echelon single-vendor multi-buyer supply chain model under VMI mode of operation. Considering multiple buyers and Assuming unsatisfied demands to be backordered at the buyers are major extensions in this paper. The vendor replenishes a single product to the buyers. The operational parameters of buyers are replenishment frequency, ordering cycle time, replenishment quantity and maximum number of authorized stockout while for the vendor, we consider ordering cycle time and order quantity as the operational parameters. Considering replenishment frequency of each buyer as the major decision variable of the model, the total inventory system cost is stated in terms of the replenishment frequency and other operational parameters are obtained as given equations. Since the objective function of the given model is nonlinear involving several integer variables, two meta-heuristic based algorithms (i.e. Genetic Algorithm and Simulated Annealing) are utilized in order to solve the problem; the results indicate that the first algorithm gives better solutions compared with the second.
Keywords: Supply chain management; Vendor Managed Inventory; Discrete demand; Stockout; Simulated Annealing; Genetic Algorithm.