Preventive maintenance planning considering machines’ reliability using group technology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farouq Alhourani ◽  
Jean Essila ◽  
Bernie Farkas
Keyword(s):  
Inventory Management ◽  
Virtual Machine ◽  
Preventive Maintenance ◽  
Clustering Algorithm ◽  
Group Technology ◽  
Heuristic Method ◽  
Similarity Coefficient ◽  
Reliability Factor ◽  
Content Type ◽  
Coefficient Method

PurposeThe purpose of this paper is to develop an efficient and effective preventive maintenance (PM) plan that considers machines’ maintenance needs in addition to their reliability factor.Design/methodology/approachSimilarity coefficient method in group technology (GT) philosophy is used. Machines’ reliability factor is considered to develop virtual machine cells based on their need for maintenance according to the type of failures they encounter.FindingsUsing similarity coefficient method in GT philosophy for PM planning results in grouping machines based on their common failures and maintenance needs. Using machines' reliability factor makes the plan more efficient since machines will be maintained at the same time intervals and when their maintenance is due. This helps to schedule a standard and efficient maintenance process where maintenance material, tools and labor are scheduled accordingly.Practical implicationsThe proposed procedure will assist maintenance managers in developing an efficient and effective PM plans. These maintenance plans provide better inventory management for the maintenance materials and tools needed using the developed virtual machine cells.Originality/valueThis paper presents a new procedure to implement PM using the similarity coefficient method in GT. A new similarity coefficient equation that considers machines reliability is developed. Also a clustering algorithm that calculates the similarity between machine groups and form virtual machine cells is developed. A numerical example adopted from the literature is solved to demonstrate the proposed heuristic method.

Application of the Similarity Coefficient Method in Group Technology

1986 ◽  
Vol 18 (3) ◽  
pp. 271-277 ◽  
Author(s):  
Hamid Seifoddini ◽  
Philip M. Wolfe
Keyword(s):  
Group Technology ◽  
Similarity Coefficient ◽  
Coefficient Method

Maintenance scheduling based on PROMETHEE method in conjunction with group technology philosophy

2018 ◽  
Vol 35 (7) ◽  
pp. 1423-1444 ◽  
Author(s):  
Abdelhakim Abdelhadi
Keyword(s):  
Preventive Maintenance ◽  
Group Technology ◽  
Spare Parts ◽  
Strategic Decision ◽  
Maintenance Cost ◽  
Manufacturing Strategy ◽  
Content Type ◽  
Clustering Problem ◽  
Promethee Method ◽  
The Impact

Purpose The purpose of this paper is to implement a strategic decision-making framework by selecting clusters of maintainable machines and scheduling their maintenance as part of a company’s manufacturing strategy. Design/methodology/approach Multi-criteria clustering problem in conjunction with the application of a group technology is used to establish clusters of maintainable machines based on their need for maintenance according to the type of failures they can encounter. Findings Using the concept of group technology in conducting preventive maintenance will result in the grouping of machines according to the impact of a failure based on the criteria specified by the decision makers. Accordingly, it will facilitate the process of executing the maintenance itself by ordering spare parts and informing the maintenance personnel which will lead to minimize the maintenance cost. Originality/value The results presented in this paper are reliable, objective may be used to minimize the total cost of conducting preventive maintenance in a manufacturing environment.

A systematic literature review of healthcare supply chain and implications of future research

2019 ◽  
Vol 13 (4) ◽  
pp. 405-435 ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Inventory Management ◽  
Cold Chain ◽  
Future Research ◽  
Research Papers ◽  
Content Type ◽  
Drug Manufacturing ◽  
Customer Training

Purpose This paper aims to review the healthcare supply chain (HSC) literature along various areas and to find out the gap in it. Design/methodology/approach In total, 143 research papers were reviewed during 1996-2017. A critical review was carried out in various dimensions such as research methodologies/data collection method (empirical, case study and literature review) and inquiry mode of research methodology (qualitative, quantitative and mixed), country-specific, targeted area, research aim and year of publication. Findings Supply chain (SC) operations, performance measurement, inventory management, lean and agile operation, and use of information technology were well studied and analyzed, however, employee and customer training, tracking and visibility of medicines, cold chain management, human resource practices, risk management and waste management are felt to be important areas but not much attention were made in this direction. Research limitations/implications Mainly drug and vaccine SC were considered in current study of HSC while SC along healthcare equipment and machine, hospitality and drug manufacturing related papers were excluded in this study. Practical implications This literature review has recognized and analyzed various issues relevant to HSC and shows the direction for future research to develop an efficient and effective HSC. Originality/value The insight of various aspects of HSC was explored in general for better and deeper understanding of it for designing of an efficient and competent HSC. The outcomes of the study may form a basis to decide direction of future research.

State-of-the-art literature review on inventory models for perishable products

2018 ◽  
Vol 15 (3) ◽  
pp. 306-346 ◽  
Author(s):  
Vaibhav Chaudhary ◽  
Rakhee Kulshrestha ◽  
Srikanta Routroy
Keyword(s):  
Inventory Management ◽  
Systemic Review ◽  
Current Status ◽  
Future Research ◽  
Inventory Models ◽  
Research Gaps ◽  
Content Type ◽  
Perishable Items ◽  
Perishable Inventory ◽  
The Future

PurposeThe purpose of this paper is to review and analyze the perishable inventory models along various dimensions such as its evolution, scope, demand, shelf life, replenishment policy, modeling techniques and research gaps.Design/methodology/approachIn total, 418 relevant and scholarly articles of various researchers and practitioners during 1990-2016 were reviewed. They were critically analyzed along author profile, nature of perishability, research contributions of different countries, publication along time, research methodologies adopted, etc. to draw fruitful conclusions. The future research for perishable inventory modeling was also discussed and suggested.FindingsThere are plethora of perishable inventory studies with divergent objectives and scope. Besides demand and perishable rate in perishable inventory models, other factors such as price discount, allow shortage or not, inflation, time value of money and so on were found to be combined to make it more realistic. The modeling of inventory systems with two or more perishable items is limited. The multi-echelon inventory with centralized decision and information sharing is acquiring lot of importance because of supply chain integration in the competitive market.Research limitations/implicationsOnly peer-reviewed journals and conference papers were analyzed, whereas the manuals, reports, white papers and blood-related articles were excluded. Clustering of literature revealed that future studies should focus on stochastic modeling.Practical implicationsStress had been laid to identify future research gaps that will help in developing realistic models. The present work will form a guideline to choose the appropriate methodology(s) and mathematical technique(s) in different situations with perishable inventory.Originality/valueThe current review analyzed 419 research papers available in the literature on perishable inventory modeling to summarize its current status and identify its potential future directions. Also the future research gaps were uncovered. This systemic review is strongly felt to fill the gap in the perishable inventory literature and help in formulating effective strategies to design of an effective and efficient inventory management system for perishable items.

Effects of CEO and COO overconfidence on the firm's inventory leanness

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bowon Kim ◽  
Jaeseog Na
Keyword(s):  
Inventory Management ◽  
Operations Management ◽  
Market Competition ◽  
Chief Executive ◽  
Stock Option ◽  
Behavioral Characteristics ◽  
Firm Level ◽  
Content Type ◽  
Top Managers ◽  
Managerial Overconfidence

PurposeThis study examines whether the behavioral attributes, such as overconfidence, of chief executive officers (CEO) and chief operating officers (COO) affect firm's inventory leanness. If they do, how are they interacting with each other? Moreover, incorporating market competition into the analysis, this study explores how the competition moderates the relationship between managerial overconfidence and inventory leanness.Design/methodology/approachUsing a large panel data of US manufacturing firms between 1998 and 2015, this study measures top managers' overconfident characteristics using stock option information. Then, a panel regression analysis is adopted to test the effects of managerial overconfidence on inventory leanness. Moreover, a moderation model is applied to investigate the interaction effects of market competition.FindingsFirms with overconfident COOs (CEOs), other circumstances being equal, increase (decrease) the inventory leanness as the market becomes more competitive.Practical implicationsThe study suggests that firms should understand top managers' behavioral characteristics to manage inventory efficiently. Collectively, CEOs (COOs) tend to increase (decrease) inventory levels due to their overconfidence as the market gets competitive. Firms should establish a systematic process to be reviewed by diverse stakeholders to deal with managerial overconfidence.Originality/valueThis study is an exploratory study that examines whether and how top management's behavioral attribute relates to a firm's operations performance. It underlines that CEO and COO's overconfident characteristics determine the inventory leanness when market competition is considered. Numerous studies on firm-level strategies emphasized the top managers' overconfidence as a key factor. However, behavioral characteristics at the top management level have rarely been studied in operations management fields. Based on the results, scholars could compare and understand the effects of CEO and COO overconfidence to provide insights into inventory management.

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