A Mapping Analysis of Maintenance in Industry 4.0

Nardo, Mario Di; Madonna, Marianna; Addonizio, P.; Gallab, Maryam

doi:10.22201/icat.24486736e.2021.19.6.1460

Cited by 17 publications

(8 citation statements)

References 21 publications

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“…The researchers estimated system reliability regarding the expected number of failures and their occurring probabilities, time, and distances between failures. Other research (Youssef & ElMaraghy, 2008;Iqbal, 2020;Mabrouk, 2020;Chiu et al, 2021a,b;Dewi et al, 2021;Di Nardo et al, 2021;Patil et al, 2021;Rouhani et al, 2021;Gupta et al, 2022;Kahar et al, 2022;Kaviyarasu and Sivakumar, 2022) studied diverse characteristics of equipment failures' impact and their corresponding actions of product defects on the controlling and managing fabrication systems.…”

Section: Introductionmentioning

confidence: 99%

Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing

Chiu¹,

Chiu²,

Pai³

et al. 2023

10.5267/j.ijiec

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Production management operating in recent competitive marketplaces must satisfy the client desired quality and shorter order lead-time and avoid internal fabricating disruption caused by inevitable defects and stochastic equipment failures. Achieving these operational tasks without undesirable quality goods, missing due dates, and fabrication interruption help the management minimize operating expenditures. Motivated by assisting manufacturing firms in the situations mentioned this study explores a manufacturing system that features quality reassurances through reworking or removal of defectives, correction of probabilistic failures, and partial overtime and outsourcing options for reducing uptime. This study finds the function of system operating expenditures through model building, mathematical formulations, optimization approaches, and algorithm proposition, shows its convexity, and derives the optimal batch time for the studied manufacturing model. Finally, this study offers numerical illustrations to confirm our work’s applicability and disclose its capability to provide various profound crucial system information that helps the management make strategic operating decisions.

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Section: Introductionmentioning

confidence: 99%

Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing

Chiu¹,

Chiu²,

Pai³

et al. 2023

10.5267/j.ijiec

View full text Add to dashboard Cite

show abstract

“…Numerical illustrations supported their proposals and solution methods. Extra works (Abdelall et al, 2020;Dewi et al, 2021;Di Nardo et al, 2021;Okfalisa et al, 2021;Perarasi et al, 2021;Suroso et al, 2021;Allaham and Dalalah, 2022;Lin et al, 2022) addressed the influence of various imperfection in fabrication processes on the manufacturing systems and production planning and control. Inspired by the urgent need to assist today's manufacturing firms in making cost-effective and efficient multi-item production decisions, this study develops a model to serve this purpose.…”

Section: Introductionmentioning

confidence: 99%

Investigating the collective impact of postponement, scrap, and external suppliers on multiproduct replenishing decision

Chiu¹,

Zhao²,

Pai³

et al. 2023

10.5267/j.ijiec

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This study examines the collective impact of postponement, scrap, and subcontracting standard components on the multiproduct replenishing decisions. Rapid response, desirable quality, and various goods guide the client’s demands in today’s competitive market. Therefore, many manufacturing firms search for alternative fabrication and outsourcing strategies during the production planning stage to satisfy the client’s expectations, minimize fabrication-inventory costs, and smoothen machine utilization. To effectively help producers meet today's client's needs and enhance their competitive advantage, we develop a two-stage multiproduct replenishing system incorporating scraps, standard parts subcontracting, commonality, and delayed differentiation. To reduce the production uptime, stage one has a hybrid fabrication process for the common components (i.e., a partial outsourcing strategy), and stage two manufactures the finished multiproduct. In-house fabrication processes in both stages are imperfect; a screening process detects and removes scraps to maintain the finished batch quality. We determine the cost-minimized operating cycle. The findings reveal the collective impact of postponement, scrap, and external suppliers on this multi-product replenishment problem and can be used to facilitate production planning and decision-making.

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“…Lastly, the study offers a numerical demonstration and sensitivity analyses for the research results. Additional works (Nachiappan et al, 2008;Singh and Singh, 2013;Chiu et al, 2021;Di Nardo et al, 2021;Uzen et al, 2021;Aljumah et al, 2022;Chiu et al, 2022b;Comert et al, 2022;Lin et al, 2022b;Riaño et al, 2022;Seçkin and Seçkin, 2022) studied various random faulty goods produced and quality assurance actions, and shipping policies influence fabricating systems and supply chains' operations and management. Few earlier works examined the collective/individual impact of scraps, subcontracting strategy, rework, and postponement on the multiproduct replenishingtransportation decisions; we intend to fill the gap.…”

Section: Introductionmentioning

confidence: 99%

Replenishment-shipment decision for a multiproduct producer-client coordinated FPR model with postponement, rework and subcontracting

Chiu¹,

Yan²,

Wang³

et al. 2023

10.5267/j.uscm

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This research constructs a mathematical scheme to explore replenishment-shipment decisions for a multiproduct producer-client coordinated finite production rate (FPR) model with the postponement, rework, and subcontracting plan. The considered multiple goods have a common component, and a batch FPR fabrication with postponement is planned to meet the annual multiproduct requirements. The first fabricating phase makes only the standard components needed for a batch and subcontracts a proportion of them (with additional cost) to expedite the process. In contrast, the second fabricating phase produces the finished multiple merchandise in sequence. The in-house rework processes with extra expense help retain the desirable quality. Each merchandise’s finished batch is transported to the clients in equal-sized numerous shipments. This study derives the optimal batch cycle length and transporting frequency by minimizing the overall fabricating-shipment expenses (including clients’ holding costs). This work offers a numerical example demonstrating various crucial system features influenced by the factors of subcontracting, postponement, rework, and transportation policies to facilitate managerial decision making in industries.

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A Mapping Analysis of Maintenance in Industry 4.0

Cited by 17 publications

References 21 publications

Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing

Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing

Investigating the collective impact of postponement, scrap, and external suppliers on multiproduct replenishing decision

Replenishment-shipment decision for a multiproduct producer-client coordinated FPR model with postponement, rework and subcontracting

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