Integrated Preventive Maintenance Scheduling Model with Redundancy for Cutting Tools on a Single Machine

Tavassoli, Leyla Sadat; Sakhavand, Nahal; Fazeli, Seyed Sajjad

doi:10.48084/etasr.3903

Cited by 13 publications

(7 citation statements)

References 28 publications

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“…Constraints ( 18) and ( 19) state that the vehicle can be dispatched if it is assigned to DC . Constraints (20) to (23) are the mathematical representation of Figure 1. Constraints ( 24) to ( 25) are variables restrictions.…”

Section: ⏟⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏟⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞⏞...mentioning

confidence: 99%

“…The crowding distance method, on the other hand, preserves the diversity of the solutions by calculating the dispersion of any two neighboring solutions in each front. These two procedures shape the Pareto front at each iteration [22,23]. After generating an initial parent population ( 0 ), all non-dominated individuals are sorted.…”

Section: Non-dominated Sorting Genetic Algorithm II (Nsga-ii)mentioning

confidence: 99%

See 1 more Smart Citation

Green Supply Chain Network Design with Emphasis on Inventory Decisions

Mahjoob¹,

Fazeli²,

Milanlouei³

et al. 2021

Preprint

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Excessive greenhouse gas emissions from the transportation sector have led companies to move towards a sustainable supply chain network design. In this study we present a new bi-objective nonlinear formulation where multiple inventory components are integrated into the location and routing decisions throughout the supply chain network. To efficiently solve the proposed model, we implement an exact method and four evolutionary algorithms for small and large-scale instances. Extensive computational results and sensitivity analysis are performed to validate the efficiency of the proposed approaches, both quantitatively and qualitatively. Besides, we run a statistical analysis to investigate whether there is any statistically significant difference between solution methods.

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confidence: 99%

Section: Non-dominated Sorting Genetic Algorithm II (Nsga-ii)mentioning

confidence: 99%

Green Supply Chain Network Design with Emphasis on Inventory Decisions

Mahjoob¹,

Fazeli²,

Milanlouei³

et al. 2021

Preprint

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show abstract

“…• Preventive maintenance can be used as an effective solution for the problem of cutting tool life in manufacturing since it helps manufacturing operators to avoid major failures that result in the replacement and change of tools [19].…”

Section: Step Four: Improvementioning

confidence: 99%

A Scientific Approach of using the DMAIC Methodology to Investigate the Effect of Cutting Tool Life on Product Quality and Process Economics: A Case Study of a Saudi Manufacturing Plant

Aichouni

Abdullah

Ramlie

2021

Eng. Technol. Appl. Sci. Res.

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One of the major priorities for manufacturing companies in the globalized economy is the ability to offer high-quality products to customers at the lowest production cost. Globally, process improvement methods and techniques are used to reduce waste and improve product and service quality. This paper aims to propose a systematic model based on process improvement methodologies and tools to help the manufacturing companies decide on cutting tool life and other manufacturing issues. This research seeks to prove that some common industry practices, such as changing cutting tools in machining processes, can significantly affect the economics of production and the overall performance of the plant. The research is mainly based on analyzing real field data using the DMAIC methodology to identify improvements in order to achieve a balance between economy and quality in a Saudi manufacturing plant. Although the study was concerned only with changing cutting tools in the machining process in an air conditioning plant, its findings and conclusions can be generalized to all manufacturing processes.

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“…The genetic algorithm is a stochastic optimization technique inspired by the process of natural selection, which is widely applied to solve different classes of NP-Hard problems [15,16,17,18]. GA maintains a population of candidate solutions through the selective procedure.…”

Section: Modified Genetic Algorithmmentioning

confidence: 99%

A Modified Adaptive Genetic Algorithm for Multi-product Multi-period Inventory Routing Problem

Mahjoob¹,

Fazeli²,

Milanlouei³

et al. 2021

Preprint

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Recent developments in urbanization and e-commerce have pushed businesses to deploy efficient systems to decrease their supply chain cost. Vendor Managed Inventory (VMI) is one of the most widely used strategies to effectively manage supply chains with multiple parties. VMI implementation asks for solving the Inventory Routing Problem (IRP). This study considers a multi-product multiperiod inventory routing problem, including a supplier, set of customers, and a fleet of heterogeneous vehicles. Due to the complex nature of the IRP, we developed a Modified Adaptive Genetic Algorithm (MAGA) to solve a variety of instances efficiently. As a benchmark, we considered the results obtained by Cplex software and an efficient heuristic from the literature. Through extensive computational experiments on a set of randomly generated instances, and using different metrics, we show that our approach distinctly outperforms the other two methods.

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Integrated Preventive Maintenance Scheduling Model with Redundancy for Cutting Tools on a Single Machine

Cited by 13 publications

References 28 publications

Green Supply Chain Network Design with Emphasis on Inventory Decisions

Green Supply Chain Network Design with Emphasis on Inventory Decisions

A Scientific Approach of using the DMAIC Methodology to Investigate the Effect of Cutting Tool Life on Product Quality and Process Economics: A Case Study of a Saudi Manufacturing Plant

A Modified Adaptive Genetic Algorithm for Multi-product Multi-period Inventory Routing Problem

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