![]() ![]() Furthermore, the capacity cannot be adjusted instantaneously but a periodic capacity adjustment is allowed. These tools allow companies to deal with customer demand uncertainty by adjusting their capacities. law for working times, contract workers and investment/de-investment in machinery and equipment. Upper and lower bounds for the provided capacity are introduced because capacity is for companies not arbitrary changeable due to e.g. Such capacity adjustment is enabled by flexible working contracts and capacity accounts which become more and more applied in manufacturing companies. When a company can forecast the demanded capacity, the provided capacity of the production system has to be set based on the demanded capacity of the customer. However, information processing to ensure its applicability for decision models often leads to additional efforts or costs. Such information can be delivered by enterprise resource planning systems, production data acquisition systems and/or manufacturing execution systems. Even if information about stochastic customer required lead time and stochastic processing times is available, practitioners can still decide how much information to use for the capacity setting decision. In a stochastic environment, practitioners deal with process- and customer uncertainties to set the capacity and to fulfill these objectives.įor the design of capacity setting methods, one key aspect is the available information about the stochastic environment of a production system. High service level and low tardiness are two important objectives of production planning and control in make-to-order (MTO) manufacturing systems. The results found in this paper can help practitioners to make efficient use of their flexible capacity. The methods using information on processing time and customer required lead time distribution perform best. It is shown that the tested capacity setting methods can lead to an increase in service level and a decrease in average tardiness in comparison to a constant provided capacity. In a simulation study the methods’ impact on service level and tardiness is compared to a constant provided capacity for a single and a multi-machine setting. The methods differ in the amount of information used whereby all are based on the cumulated capacity demand at each machine. These methods are developed as decision support when capacity flexibility exists, such as, a certain range of possible working hours a week for example. The paper presents different periodical capacity setting methods for make-to-order, multi-machine production systems with stochastic customer required lead times and stochastic processing times to improve service level and tardiness.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |