{"title":"Integrating internet of things in service parts operations for sustainability","authors":"Chris Y. T. Ma, D. Mo","doi":"10.1177/18479790231165639","DOIUrl":null,"url":null,"abstract":"Businesses are expected by the society to operate sustainably nowadays. However, companies are having a hard time to make business decisions to achieve both business sustainability and environmental sustainability, especially when such decisions involve numerous uncertainties. Making the wrong decision can result in damaging reputation in the least and going out of business in the worst. In this case study, we consider companies providing service parts maintenance, which have a great potential to bring positive impacts to the environment by refurbishing and reusing the replaced items. However, these companies also need to weight against cost effectiveness of doing so to maintain business sustainability. Informed decision making, meanwhile, is achievable with the use of the latest technologies. Here, we present the integration of Internet-of-Things to collect and provide real-time data for business analysis, such that companies can decide effectively which item(s) can be refurbished economically. We show that by doing so, uncertainties concerning the cost of refurbishment can be reduced, such that service parts operators can achieve both business sustainability and environmental sustainability.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering Business Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/18479790231165639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 1
Abstract
Businesses are expected by the society to operate sustainably nowadays. However, companies are having a hard time to make business decisions to achieve both business sustainability and environmental sustainability, especially when such decisions involve numerous uncertainties. Making the wrong decision can result in damaging reputation in the least and going out of business in the worst. In this case study, we consider companies providing service parts maintenance, which have a great potential to bring positive impacts to the environment by refurbishing and reusing the replaced items. However, these companies also need to weight against cost effectiveness of doing so to maintain business sustainability. Informed decision making, meanwhile, is achievable with the use of the latest technologies. Here, we present the integration of Internet-of-Things to collect and provide real-time data for business analysis, such that companies can decide effectively which item(s) can be refurbished economically. We show that by doing so, uncertainties concerning the cost of refurbishment can be reduced, such that service parts operators can achieve both business sustainability and environmental sustainability.
期刊介绍:
The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering