Capacity assignment in repair shops with high material uncertainty

Abstract

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Systematic literature review of repair shops: focus on sustainability

“…[t]Table 5 near here [/t] Considering the optimization of the performance indicators of the repair shops, it could be observed that Linear or Non-linear Programming (16 papers) are the algorithms most commonly used, accounting for 30% of all papers. The objective is to minimize either the expected waiting time in repair shops (Safaei et al 2011;Liang et al 2013;Aramon and Beck 2014;Dreyfuss et al 2018;Al-Refaie et al 2020;Driessen et al 2020) or the spare parts inventory (Adan et al 2009;Basten and van Houtum 2014;Jaber et al 2014;van Jaarsveld et al 2015;Taleizadeh et al 2016;Arts 2017;Sleptchenko et al 2019) or the maintenance costs (van Ommeren et al 2006;Simeu-Abazi and Ahmad 2011;Shivasankaran et al 2013;Turan et al 2018;Sanchez et al 2020). The advantage of both methods is that they are exact, even though the repair shop model needs to be simplified as much as possible to reduce calculation complexity.…”

“…Material Flow mainly consists of spare parts (Driessen et al 2020) and equipment derived from different production sites (Simeu-Abazi and Ahmad 2011).…”

“…For example, the U.S. spends more than $200 billion each year to maintain Navy equipment (Sleptchenko et al 2019). In order to satisfy customers and keep up with the competition, the lives of industries depend on the availability of high-value capital assets to provide their services or to manufacture their products (Driessen et al 2020).…”

“…In some cases, it would be better to outsource maintenance to each production site instead of relying on a repair shop to reduce the cost of transporting failed equipment. In this paper we are concerned with those cases where centralizing all the maintenance facilities is the best option (Driessen et al 2020).…”