Kumar, J., Roy, N., Mostafaeipour, A., Qolipour, M. (2017). Development of a novel lot sizing model with variable lead time in supply chain environment. Journal of Optimization in Industrial Engineering, 10(22), 25-38. doi: 10.22094/joie.2017.275
Jitendra Kumar; Nirjhar Roy; Ali Mostafaeipour; Mojtaba Qolipour. "Development of a novel lot sizing model with variable lead time in supply chain environment". Journal of Optimization in Industrial Engineering, 10, 22, 2017, 25-38. doi: 10.22094/joie.2017.275
Kumar, J., Roy, N., Mostafaeipour, A., Qolipour, M. (2017). 'Development of a novel lot sizing model with variable lead time in supply chain environment', Journal of Optimization in Industrial Engineering, 10(22), pp. 25-38. doi: 10.22094/joie.2017.275
Kumar, J., Roy, N., Mostafaeipour, A., Qolipour, M. Development of a novel lot sizing model with variable lead time in supply chain environment. Journal of Optimization in Industrial Engineering, 2017; 10(22): 25-38. doi: 10.22094/joie.2017.275
Development of a novel lot sizing model with variable lead time in supply chain environment
1Mechanical Engineering Department, Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India
21Mechanical Engineering Department, MNNIT, Allahabad, India
3Yazd University
Abstract
Supply chain management (SCM) addresses the management of materials and information across the entire chain from suppliers to producers, distributors, retailers, and customer. The theory of supply chain management suggests that lead time reduction is a pioneer to the use of market mediation to reduce transaction uncertainty in the chain, which can be conceptualized as the primary goal of supply chain management. In the past few decades, scholars gave ample attention about the impact of inventory on SCM. This paper relates to the development of a lot sizing model for a single component multiple delivery system with variable demand and lead time of a multinational transformer company. Two models and the modification were developed on the basis of the following assumptions. For first model distribution of demand is normal, distribution of procurement lead time is exponential and the quantity is coming in a single lot. For second model distribution of demand is normal distribution of ‘procurement’ and ‘administrative delay’ lead time is exponential and the quantity is coming in a single lot. Modification of the first model has been done by taking the effect of multiple deliveries in the models and correcting the Re-order point as obtained from the previous models. The results were observed by the second model and analysis has been done for different parametric conditions. The effect of multiple deliveries is also taken into account. The optimum re-order point and economic ordering quantity with various different inputs have been discussed.
Highlights
A novel lot-sizing model is developed
Variable lead time in supply chain environment is implemented in the model
Single-component multiple-delivery system with variable demand and lead time of a multinational transformer company is developed
Different parametric conditions were investigated
Optimum re-order point and economic ordering quantity with various different inputs were discussed
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