Dispatching rule composition method for single machine multi objective dynamic scheduling

Chen, Xili; Lin, Hao; Murata, Tadahiko

doi:10.1109/iciea.2009.5138648

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…After that, we do calculate alternate Eigen value-criteria, with multiplication, a combination of criteria and alternatives. Standard weighting value (Chen et al, 2009), Based on the calculation method of AHP obtained final weighting value of each alternative as Table 17. Determining the best alternative fuels are selected based on the total weighting of the highest value.…”

Section: The Stages Of the Ahp Methodsmentioning

confidence: 99%

Reducing Environmental Impact on SME Metals Production Process Using Life Cycle Assessment and Analytical Hierarchy Process Method

Faishal

Arfan

Asih

2020

JITI

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The ABC metal SME produces some wastes, such as liquid waste, solid waste, and smoke. The problem is hazardous waste dumped directly into the environment without any waste treatments which had bad impact on the environment around its SME. Therefore, this research is proposed to improve the production process of metal that can reduce the environmental impacts. The Life Cycle Assessment (LCA) method is developed to identify all the processes that have an impact on the environment and also to calculate the energy used. The values of environmental impact are calculated using Simapro 9.0 Software. In addition, Analytical Hierarchy Process (AHP) method is employed to determine the best alternative fuel according to four criteria, such as temperature, price, emission, and fuel consumption. The results show the process that has the greatest environmental impact is the metal smelting process. It is caused by the source fuel in this process was used oil. The usage of used oil can be the sources of air pollution that causing health problems in the respiratory tract such as bronchitis and asthma. Some alternative fuel was proposed, however, fuel gas is the best alternative among others according to the expert opinions. For the managerial insight, this research can be suggestion for SME to choose the best fuel in the production process that considering economic and environmental aspects.

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Section: The Stages Of the Ahp Methodsmentioning

confidence: 99%

Reducing Environmental Impact on SME Metals Production Process Using Life Cycle Assessment and Analytical Hierarchy Process Method

Faishal

Arfan

Asih

2020

JITI

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“…Thus, depending on the job execution sequence in the schedule, the grade for the job in the first position is extreme high, for the job in the second position it is high, and ... so on. If two jobs have the same priority, FIFO is used to break the tie [6]. For example, a schedule with the job sequence J1-J2-J3-J4-J5-J6, the grades of jobs are therefore set as extreme high, high, average, low, and extreme low, respectively.…”

Section: Pairwise Comparison Evaluation Of Job Sequencementioning

confidence: 99%

“…The approach considers the composition of multiple criteria from both the production performance and customer-oriented production priority management aspects. The work presented here is the continuation of our previous study on single-machine multiobjective static scheduling [5] and dynamic scheduling [6]. The paper is organized as follows: Section 2 reviews the literature on related techniques.…”

Section: Introductionmentioning

confidence: 99%

Composite dispatching rule design for dynamic scheduling with customer‐oriented production priority control

Chen

Lin

Murata

2011

IEEJ Transactions Elec Engng

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In practice, the criteria considered for production scheduling objectives are generally derived from some desired production performance factors of a manufacturing system. On the other hand, customer-oriented production priority management focuses on the analysis of operational production management policies that cannot be readily measured in a quantitative manner. This paper presents an approach for multiobjective composite dispatching rule design, which simultaneously considers scheduling criteria and the customer-oriented production priority management policies. The correctness of elementary dispatching rule selection is a critical aspect of composite dispatching rule design. Data envelopment analysis is adopted to select a set of corresponding elementary rules that appropriately convey the scheduling criteria. The selected elementary rules are composed with weighted aggregation to optimize the scheduling criteria of interest. Analytic hierarchy process is used for overall job prioritization by combining the different schedules derived from the composite dispatching rule and the customer-oriented production priority rules. The implementation of the presented approach on single-machine, multiobjective, dynamic scheduling is demonstrated by a case study. The production performance of composite dispatching rules that would be subsequently achieved by the presented approach is compared with some conventional dispatching rules, and the results are found to be satisfactory.

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A New Method For Solving Dynamic Flexible Job Shop Scheduling Problems Integrating Genetic Algorithm And Priority Rules

Sanatizadeh¹,

Badamchizadeh²,

Khanmohammadi³

et al. 2014

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Dispatching rule composition method for single machine multi objective dynamic scheduling

Cited by 3 publications

References 11 publications

Reducing Environmental Impact on SME Metals Production Process Using Life Cycle Assessment and Analytical Hierarchy Process Method

Reducing Environmental Impact on SME Metals Production Process Using Life Cycle Assessment and Analytical Hierarchy Process Method

Composite dispatching rule design for dynamic scheduling with customer‐oriented production priority control

A New Method For Solving Dynamic Flexible Job Shop Scheduling Problems Integrating Genetic Algorithm And Priority Rules

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