Operator-scheduling using a constraint satisfaction technique in port container terminals

Kim, Kap Hwan; Kim, Kyeong Woo; Hwang, Hark; Ko, Chang Seong

doi:10.1016/j.cie.2003.12.017

Cited by 27 publications

(16 citation statements)

References 9 publications

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“…(1). The values of the objective function for the GA-optimized schedule and the manually-adjusted schedule are 0.03 and 0.13, respectively.…”

Section: B Experimental Results and Analysismentioning

confidence: 99%

“…Kim et al [1] had collected an actual operator-scheduling problem from a container terminal in Pusan, Korea, and defined the operator-scheduling problem as a constraint-satisfaction problem. Its solution was obtained by utilizing a commercial software.…”

Section: B Operator Schedulingmentioning

confidence: 99%

“…The aim of the GA optimization process is to minimize the following fitness function: (1) where w1, w2 and w3 are weights, which can be adjusted in accordance with the particular characteristics and scheduling preferences of the company. In addition, X, Y and Z are defined in the following.…”

Section: ) Multi-objective Functionmentioning

confidence: 99%

“…The efficient scheduling of operators in industry is important [1]. Modern fab manufacturing facilities are of an increasingly large scale and rely on an efficient integration of automated processing systems and manual operations.…”

Section: Introductionmentioning

confidence: 99%

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A Decision Support System for Optimization of Operator Schedule in Semiconductor Manufacturing Industries

Li¹,

Lai²,

Liao³

2016

IJMO

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Abstract-In the semiconductor manufacturing industry, most factories maintain a round-the-clock production operation. As a result, the problem arises as to how best to ensure the continuous operation of the factory while simultaneously meeting the leave requirements of the operators. Traditionally, the operator schedules are artificially dispatched by the operator schedule supervisor. That is, the operators submit their leave requests, and the operator schedule supervisor approves or rejects the requests in accordance with government and company regulations and the available manpower. In practice, a good operator schedule should not only meet the factory operation requirements, but should also respect the autonomy of the employees. Striking a balance between the two is highly challenging, and can result in a lose-lose situation if performed badly. Moreover, the manual scheduling process is extremely time consuming. Accordingly, the present study proposes a decision support system (DSS) for solving the operator scheduling problem using a genetic algorithm based on a joint consideration of government regulations, company policy, department regulations and personnel preferences. The proposed DSS defines multi-criterion: employee rights and company benefits for assessment. The experimental results show that the proposed DSS reduces the operator scheduling time from around 3~5 days to approximately 33 minutes for one manufacturing section with four shifts. Moreover, it is shown that the effectiveness of the proposed DSS in improving the benefits to the company while simultaneously satisfying the employees' rights is around 55% higher than that of the manual scheduling system. Index Terms-Decision support system, multi-objective genetic algorithms, operator schedule problem, scheduling.

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“…(1). The values of the objective function for the GA-optimized schedule and the manually-adjusted schedule are 0.03 and 0.13, respectively.…”

Section: B Experimental Results and Analysismentioning

confidence: 99%

Section: B Operator Schedulingmentioning

confidence: 99%

Section: ) Multi-objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Decision Support System for Optimization of Operator Schedule in Semiconductor Manufacturing Industries

Li¹,

Lai²,

Liao³

2016

IJMO

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“…The choice of solution procedure depends on the preferences of the terminal operator and the distinct characteristics of the terminal. Finally, when looking at operational decisions, the majority of scientific articles suggest the use of optimisation techniques (e.g., Gambardella et al, 2001;Kim et al, 2004).…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the operations of an intermodal barge terminal

Verdonck

Caris

Ramaekers

et al. 2014

IJSPM

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This paper studies the operations of intermodal barge terminals. The objective is to increase the terminal's efficiency by supporting the operational planning of the terminal operator. For this purpose, a review on general and process-specific barge terminal planning problems, discussed in current scientific literature, is provided. This theoretical knowledge is validated in practice by means of a comparison with operational planning realities at Haven Genk, a Belgian trimodal terminal. Finally, simulation studies based on Haven Genk data are performed to investigate whether vessel size and number of vessels in use have an impact on barge terminal efficiency.

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Scheduling Seaside Resources at Container Ports

Meisel

2011

Wiley Encyclopedia of Operations Research and Management Science

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This article provides an overview of operational planning and scheduling problems at seaport container terminals. It considers problems that deal with the seaside resources of a terminal, namely the berth space and the quay cranes, in detail. The corresponding problems of berth allocation, crane assignment, and crane scheduling are investigated in detail by providing comprehensive literature surveys and examples of mathematical models that are found in the recent literature. Finally, issues of further research are outlined.

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Operator-scheduling using a constraint satisfaction technique in port container terminals

Cited by 27 publications

References 9 publications

A Decision Support System for Optimization of Operator Schedule in Semiconductor Manufacturing Industries

A Decision Support System for Optimization of Operator Schedule in Semiconductor Manufacturing Industries

Analysis of the operations of an intermodal barge terminal

Scheduling Seaside Resources at Container Ports

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