Pengembangan Algoritma Non Delay Pada Kasus Penjadwalan Non-Permutation Hybrid Flowshop Untuk Minimasi Mean Flowtime

Khoiroh, Siti Muhimatul

doi:10.22219/jtiumm.vol19.no2.148-156

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…It is not practical in a real-world application where the number of jobs is significant. Hence, other approaches, such as heuristic [31] and metaheuristics [32], can be applied in a realworld application.…”

Section: Resultsmentioning

confidence: 99%

Mathematical Models of Energy-Conscious Bi-Objective Unrelated Parallel Machine Scheduling

Kurniawan

2020

JTI

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The industrialization has led to the prosperity of human life. However, it causes the side effect that harms the environment. Moreover, the source of energy used to drive the industrialization comes from non-renewable resources that can be extinct. As the extensive energy user, the manufacturing sector can use energy efficiently by scheduling and planning. A scheduling system that incorporates environmental and the energy consumption is one of the initiatives to reduce energy consumption and reduce environmental effects. Therefore, this study addresses bi-objective unrelated parallel machine scheduling to minimize the total tardiness and energy consumption. The energy consumption follows the Time-Of-Use (TOU) tariffs price scheme. The problem is formulated as two mixed-integer programming (MIP) models, using the time-indexed and disjunctive formulation, and solved using the weighted sum method. We perform complexity and computational analysis to evaluate the performance of models. Numerical experiments show that the time-indexed formulation is more efficient than the disjunctive formulation. The results provide useful insights for decision-makers in the manufacturing sectors to be energy-conscious without neglecting the production efficiency.

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Section: Resultsmentioning

confidence: 99%

Mathematical Models of Energy-Conscious Bi-Objective Unrelated Parallel Machine Scheduling

Kurniawan

2020

JTI

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Distribution of Soap X in East Java Region with Bhumal Method and Traveling Salesman Problem

Murnawan,

Surani,

Mahardhika

2024

J Statistika

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The product distribution process is an effort by producers to deliver their products to consumers with a registered and programmed system. Product distribution to consumers must be handled carefully and carefully. Because this can be one of the obstacles for companies in winning competition with other companies if the distribution speed is not high. The speed or slowness of product distribution to consumers, one of which depends on the proximity between the dealer's warehouse and the market (consumers). The purpose of this data presentation and analysis is to better understand how to make data, analyse, and make conclusions that can determine a decision on a logistics process in general and bar soap products with transportation cost optimisation using the bhumal method and Traveling Salesman Problem.

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Pengembangan Algoritma Non Delay Pada Kasus Penjadwalan Non-Permutation Hybrid Flowshop Untuk Minimasi Mean Flowtime

Cited by 2 publications

References 12 publications

Mathematical Models of Energy-Conscious Bi-Objective Unrelated Parallel Machine Scheduling

Mathematical Models of Energy-Conscious Bi-Objective Unrelated Parallel Machine Scheduling

Distribution of Soap X in East Java Region with Bhumal Method and Traveling Salesman Problem

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