Lot scheduling problems of multiple items in the shop with both receiving and delivery just in time

Halim, Abdul Hakim; Miyazaki, Shigeji; Ohta, Hiroshi

doi:10.1080/09537289408919484

Cited by 11 publications

(13 citation statements)

References 10 publications

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“…The actual flowtime has been applied to problems of batch scheduling by Halim et al [17,18,19], Sukoyo et al [20] and Zahedi et al [21] but they conduct batch scheduling research for job processors i.e., the machine that processes one job at a time. Hidayat et al [22,23] develop the actual flowtime of parts for batch scheduling problems on batch processors, and adopt it as an objective where parts to be processed are a single item with a common due date.…”

Section: * Corresponding Authormentioning

confidence: 99%

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Multi-items Batch Scheduling Model for a Batch Processor to Minimize Total Actual Flow Time of Parts through the Shop

Hidayat

Cakravastia

Samadhi

et al. 2018

jti

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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.

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Section: * Corresponding Authormentioning

confidence: 99%

“…Constraint (18) shows that in each interval, the entire of formed batches must be processed within interval…”

Section: Model Developmentmentioning

confidence: 99%

Multi-items Batch Scheduling Model for a Batch Processor to Minimize Total Actual Flow Time of Parts through the Shop

Hidayat

Cakravastia

Samadhi

et al. 2018

jti

Self Cite

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“…Halim and Ohta (1993) suggested the type of items that are scheduled with non-decreasing ratio (backward sequence) + for j = 1, 2, ..., p or type of item with smaller ratio scheduled in advance in backward sequence, because the schedule will minimize the total actual flow time.…”

Section: Heuristicmentioning

confidence: 99%

Integrated batch production and maintenance scheduling for multiple items processed on a deteriorating machine to minimize total production and maintenance costs with due date constraint

Zahedi¹,

Samadhi²,

Suprayogi³

et al. 2016

10.5267/j.ijiec

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This paper discusses an integrated model of batch production and maintenance scheduling on a deteriorating machine producing multiple items to be delivered at a common due date. The model describes the trade-off between total inventory cost and maintenance cost as the increase of production run length. The production run length is a time bucket between two consecutive preventive maintenance activities. The objective function of the model is to minimize total cost consisting of in process and completed part inventory costs, setup cost, preventive and corrective maintenance costs and rework cost. The problem is to determine the optimal production run length and to schedule the batches obtained from determining the production run length in order to minimize total cost.

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“…Generally, inventory has been used to meet customer demands quickly. According to Baker (1974), Baker and Trietsch (2009), Dobson et al (1987), and Halim and Ohta (1993), it is necessary to minimize inventory to minimize the length of a job on the shop floor (i.e., shop time).…”

Section: Introductionmentioning

confidence: 99%

“…However, early research on batch scheduling based on the forward approach by Dobson et al (1987) did not cite the due date as a limiting factor. A timely scheduling model has been developed by Halim and Ohta (1993); it is based on actual flow time. Sotskov et al (1999) developed heuristic algorithms for scheduling problems associated with the batch insertion technique utilized in a job shop environment with independent setup time.…”

Section: Introductionmentioning

confidence: 99%

The Batch Scheduling Model for Dynamic Multi-item, Multi-level Production in Assembly Job Shop with Parallel Machines

Surjandari¹,

Rachman²,

Purdianta³

et al. 2015

IJTech

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Most classical scheduling approaches deal with single products, single machines, and static manufacturing environments. In real-world manufacturing systems, however, scheduling can be assigned for multi-item production on multimachines in a dynamic environment in which unexpected new orders may be received. This paper focuses on scheduling problems in an assembly job shop with parallel machines that produce multi-item multi-level products. Models were developed for due date fulfillment and due date assignment in static and dynamic conditions, with the objectives of minimizing total actual flow time, while considering the defect rate at each stage of the process. The insertion technique was used in the scheduling process; insertion can be performed in batch operations at all available positions on all machines. A hypothetical case of job shop scheduling problems associated with multi-item, multi-level production on parallel machines was studied, and the computational results demonstrated the validity of the proposed algorithms.

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Lot scheduling problems of multiple items in the shop with both receiving and delivery just in time

Cited by 11 publications

References 10 publications

Multi-items Batch Scheduling Model for a Batch Processor to Minimize Total Actual Flow Time of Parts through the Shop

Multi-items Batch Scheduling Model for a Batch Processor to Minimize Total Actual Flow Time of Parts through the Shop

Integrated batch production and maintenance scheduling for multiple items processed on a deteriorating machine to minimize total production and maintenance costs with due date constraint

The Batch Scheduling Model for Dynamic Multi-item, Multi-level Production in Assembly Job Shop with Parallel Machines

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