Abstract
We consider the nonstandard parts supply chain with a public service platform for machinery integration in China. The platform assigns orders placed by a machinery enterprise to multiple independent manufacturers who produce nonstandard parts and makes production schedule and batch delivery schedule for each manufacturer in a coordinate manner. Each manufacturer has only one plant with parallel machines and is located at a location far away from other manufacturers. Orders are first processed at the plants and then directly shipped from the plants to the enterprise in order to be finished before a given deadline. We study the above integrated production-distribution scheduling problem with multiple manufacturers to maximize a weight sum of the profit of each manufacturer under the constraints that all orders are finished before the deadline and the profit of each manufacturer is not negative. According to the optimal condition analysis, we formulate the problem as a mixed integer programming model and use CPLEX to solve it.
Highlights
Machinery and equipment manufacturing play increasingly important role in economic development of China especially in recent years
We study the above integrated production-distribution scheduling problem with multiple manufacturers to maximize a weight sum of the profit of each manufacturer under the constraints that all orders are finished before the deadline and the profit of each manufacturer is not negative
Many enterprises in China which produce machinery commonly encountered the problem that they need to search for manufacturers who produce nonstandard parts of the machinery, evaluate their production capability, and monitor their operations to ensure the progress and quality for the assigned orders for the reason that most of nonstandard parts manufacturers in China are extremely small and lacking enterprise credits
Summary
Machinery and equipment manufacturing play increasingly important role in economic development of China especially in recent years. We consider a simplified version of the integrated production-distribution scheduling problem with multiple independent manufacturers located at different locations for the above-described supply chain. In this problem, the platform receives a set of orders from the enterprise and needs to determine which orders to be assigned to which manufacturers, how to schedule the production of the assigned orders at each manufacturer, and how to schedule the distribution of the completed orders from each manufacturer to the enterprise, so as to optimize the total weight sum of each manufacturer’s profit under the constraints that the orders are finished before a deadline and the profit of each manufacturer is not negative. Chen and Pundoor [10] introduced the order assignment and scheduling problem with multiple overseas plants and a domestic distribution center in a global supply chain, and they considered four different performance measures, all of which take into account both delivery lead time and the total cost. The objective of this paper is to describe the problem mathematically in a coordinate manner and analyse optimal conditions of the problem to simplify the problem and solve the problem
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