TAILIEUCHUNG - Determination of start times and ordering plans for two-period projects with interdependent demand in project-oriented organizations: A case study on molding industry

The objective of the present study is to determine the start times and ordering plans for two period projects in project-oriented organizations. | Determination of start times and ordering plans for two-period projects with interdependent demand in project-oriented organizations A case study on molding industry Journal of Project Management 2 2017 119 142 Contents lists available at GrowingScience Journal of Project Management homepage Determination of start times and ordering plans for two-period projects with interdependent demand in project-oriented organizations A case study on molding industry Reza Lotfia Majid Amin Nayerib S. Mehdi Sajadifarc and Nooshin Mardanid a Department of Industrial Engineering Yazd University Yazd Iran b Department of Industrial Engineering AmirKabir University Tehran Iran c Department of Industrial Engineering University of Science and Culture Tehran Iran d Department of Environment College of Agriculture Takestan Branch Islamic Azad University Takestan Iran CHRONICLE ABSTRACT Article history The objective of the present study is to determine the start times and ordering plans for two- Received July 5 2017 period projects in project-oriented organizations. The following assumptions are made orders Received in revised format Au- can be placed in either of a project s two consecutive periods and the same raw materials are gust 28 2017 used which are ordered at the start of the periods according to their interdependent demands. Accepted September 7 2017 Available online The main innovation of the present research is to develop a model that is mainly based on the September 7 2017 two-period newsvendor problem but assumes that demand is interdependent . it is actually a Keywords combination of inventory and project management. After presenting the model numerical meth- Project management ods are used to approximate the order quantities for each period. Near-optimal solutions of a Inventory management numerical example in a case study on molding industry are obtained using a genetic algorithm. Two-period interdependent Results show that the proposed model

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