Abstract
This study is inspired by a batch scheduling problem in metal working industry which guarantees to satisfy a due date as a commitment to customers. Actual flowtime adopts the backward scheduling approach and considers the due date. Using the actual flowtime as the objective means that the solution is oriented to satisfy the due date, and simultaneosly to minimize the length of time of the parts spending in the shop. This research is to address a problem of scheduling batches consisting of multiple items of parts processed on a batch processor where the completed parts must be delivered several time at different due dates. We propose an algorithm to solve the problem.
Highlights
A number of parts processed simultaneously with sharing a setup time could be defined as a batch, and a batch processor is a machine that processes one batch at a time
The batch processor is used in iron and steel industry for heating ingots up to a proper processing temperature (Gong, et al [5]), microbiological laboratory for producing agar that is used in food testing (Chakhlevit, et al.[6]), and bicycle rim manufacturing (Damodaran, et al [7])
The solution for batch scheduling problems on a batch processor is determined through two phases, that are batching and scheduling
Summary
A number of parts processed simultaneously with sharing a setup time could be defined as a batch, and a batch processor is a machine that processes one batch at a time. The batch processor is used in iron and steel industry for heating ingots up to a proper processing temperature (Gong, et al [5]), microbiological laboratory for producing agar that is used in food testing (Chakhlevit, et al.[6]), and bicycle rim manufacturing (Damodaran, et al [7]). Those pieces of research work have addressed problems of batch scheduling on the batch processor. The size of a batch represents a number of parts in the batch, and it is limited by capacity of the batch processor
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