This paper presents a case study for the advanced planning and scheduling （APS） problem encountered in a light source manufacturer. The APS problem explicitly considers due dates of products, operation sequences amo...This paper presents a case study for the advanced planning and scheduling （APS） problem encountered in a light source manufacturer. The APS problem explicitly considers due dates of products, operation sequences among items, and capacity constraints of the manufacturing system. The objective of the problem is to seek the minimum cost of both production idle time and tardiness or earliness penalty of an order. An intelligent heuristic is applied to the problem, and the results demonstrate that significant production performances can be achieved while ensuring customer satisfaction as opposed to normal oractices followed in the company relying on human expertise.展开更多
基金supported by National Natural Science Foundation of China under the project of 70901021, 61174171 and 71171040Social Science Foundation of the Ministry of Education of China under the project of 10YJC630139 Foundation for University Outstanding Young Researchers of Fujian Province of China under the project of JA10023S
文摘This paper presents a case study for the advanced planning and scheduling （APS） problem encountered in a light source manufacturer. The APS problem explicitly considers due dates of products, operation sequences among items, and capacity constraints of the manufacturing system. The objective of the problem is to seek the minimum cost of both production idle time and tardiness or earliness penalty of an order. An intelligent heuristic is applied to the problem, and the results demonstrate that significant production performances can be achieved while ensuring customer satisfaction as opposed to normal oractices followed in the company relying on human expertise.
