International Journal of Advanced Operations Management (8 papers in press)
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.
Evaluating the performance of robust and stochastic programming approaches in a supply chain network design problem under uncertainty
by Reza Babazadeh
Abstract: Todays, organizations have focused on improving their supply chain performance to achieve sustainable profit and proceed in volatile markets. The nature of todays volatile markets imposes parametric uncertainty to optimization problems particularly in strategic decision making problems such as supply chain network design (SCND) problem. Two-stage stochastic programming (TSSP) and robust stochastic programming (RSP) approaches are widely used to deal with the uncertainty of optimization problems. In this paper, the performance of these two approaches in a SCND problem is evaluated through conducting a case study in Iran and performing realization process. The main objectives of this study are optimizing three stage SCND problem under uncertainty and evaluating the performance of TSSP and RSP methods in optimizing SCND problem under uncertainty. The results show that the RSP method leads to more robust solution than TSSP method. Also, the RSP method has more degree of flexibility to deal with the uncertainty according to DM preferences.
Keywords: Supply chain network design; Uncertainty; Two-stage stochastic programming; Robust Stochastic programming; supply chain management.
Implementation of Simulation for the Analysis of Available Layout Alternatives of Manufacturing Plant
by Parveen Sharma
Abstract: The analysis of quantitative factors is very complicated and necessary part for any industrial/practical problem. In the present study a simulation based approached has been proposed for analyzing such data. In the proposed approach various layout models have been developed and analyzed based on some selected factors. The % machine utilization, total exits, total average time in the system, and total average time blocked have been considered as factors for the evaluation. There can be more than one alternative layout for one industry. The proposed study demonstrates that the performance of the each alternative is highly affected by some factors (i.e. % machine utilization). The effect of some factors are ignorable on the performance of the layout, it is one of the output of the proposed study.
Keywords: Simulation; performance analysis; facility layout; ProModel.
A hybrid lion optimization algorithm to solve the flexible job shop scheduling problems
by MARIAPPAN KADARKARAINADAR MARICHELVAM
Abstract: This paper addresses the ﬂexible job shop scheduling problem (FJSP) with makespan criterion. The FJSP has been proved to be strongly NP-hard. The FJSP is a generalization and extension of the classical job shop scheduling problem (JSP). As the problem is NP-hard, exact solution techniques cannot be used to tackle the problem. Researchers have proposed several heuristics and meta-heuristics to solve the problem. The lion optimization algorithm is one of the recently developed meta-heuristic algorithms. A hybrid lion optimization algorithm (HLOA) is proposed in the present work to solve the FJSP. A heuristic is hybridized with the LOA to improve the solution quality. To the best of our knowledge this is the first reported application of the LOA to solve the scheduling problems. The performance of the proposed algorithm is tested with two different sets of benchmark problems addressed in the literature. Computational results substantiate the effectiveness of the proposed algorithm.
Keywords: scheduling; flexible job shop; NP-hard; makespan; lion optimization algorithm.
Contributions to the Planning of Human Resources in the Territorial Level
by Rodobaldo Martínez Vivar, Alexander Sánchez Rodriguez, Clara Elena Marrero Fornaris, Reyner Pérez Campdesuner, Gelmar Garcia Vidal
Abstract: Human resource planning at the territorial level is an essential requirement which contributes to decision making, both corporate and territorial levels, hence the need to observe this phenomenon with a prospective and systemic approach to ensure human resources in quantity and quality required for the performance of activity levels in the short, medium and long term. These elements characterize this paper, which bases its study on the main theoretical observations made of the literature on the subject, providing a tool with the capability to determine the human resource requirements at the territorial level. This research aims to design and apply a procedure for the planning of human resources at the territorial level, characterized by its systemic, prospective and control nature. The main results of the applications are reflected in the improvement of the efficiency and effectiveness indicators, highlighting a reduction of the deficit of human resources in the territory of 33.4% and a decrease of the surplus of 30.7%, achieving a better use and availability of human capacities installed in the territory as a contribution to its prospective development.
Keywords: Human resource planning; territorial level; human resource management; corporate level; human resource requirements.