Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Journal Article
Publisher : International Journal of Production Research (Taylor and Francis)
Source : International Journal of Production Research (Taylor and Francis). 57(11), 3362-3381. IMPACT FACTOR: 8.568
Keywords : buyer's space limitation, genetic algorithm, geometric shipment policy, inventory control, vendor-managed inventory
Campus : Coimbatore
School : School of Engineering
Center : Amrita Innovation & Research
Department : Mathematics
Verified : Yes
Year : 2019
Abstract : This paper studies five different stock control policies in the supply chain management. The lead time can be shortened by extra investment between two entities. The vendor produces a single product and delivers the order quantity in a number of unequal shipments to the buyer. The unit holding cost is divided into financial and storage components. The vendor takes care of financial component until the products are sold to the end customers to encourage them to buy more products. In order to reduce emissions from production and to protect the environment, some legislative actions have been taken such as implementing taxes and penalties. The cost function also includes these taxes and penalties. The optimal solutions of this constrained mixed integer non-linear programming problem are obtained by using the Genetic Algorithm (GA). Numerical examples are employed and comparison works are carried out with other existing literatures. Results show that the performance of the system is better when it is operated under unequal shipment policies and vendor-managed inventory (VMI) agreement.