![]() , the most important challenge of inventory management in spare parts supply is the lack of a system with a holistic perspective, accuracy of best-fit-forecasting, and service parts management using big data technology thus, we chose this topic for investigation. The distributed nature of spare parts, the relatively large numbers of stock keeping units, and varying demand patterns lead in time to complication in SPP optimization. SPP software selection is an investment in balancing the symmetry of needs, supply control, and customer satisfaction, which directly affects the success of after-sales services. As customer service is becoming a key criterion that influences the buying behavior of customers, the availability of appropriate parts at appropriate locations with suitable inventory levels has become a major challenge for spare parts planning (SPP) management. The success of these services fundamentally depends on the possibility of symmetry balancing needs, supply control, and customer satisfaction. In conclusion, this paper represents a bridge between practitioners and researchers.ĭue to the steady decline in sales margins, companies are adopting after-sales services as important strategic differentiators to attract and retain loyal customers. The findings of our data suggest that inventory optimization is the most important function of SPP software, as the demand forecasting function may be subjective. The results suggest that the AHP and GRA are feasible methods for software selection that effectively integrate consultants’ experience to identify the suitable software and the most important function for adoption in real businesses. The criteria were evaluated solely based on system functions by business consultants with respect to the modularity of the software to meet various business requirements, distinguishing this paper from other papers that focus on the financial aspects of selecting software. The application of these methods can be decreased by decision-makers’ subjectivity, which leads to consistency and symmetry in the weight values of the criteria. This paper presents the analytic hierarchy process (AHP) and grey relational analysis (GRA) as potential multi-criteria decision making (MCDM) methods for software selection. Spare parts planning (SPP) software selection is an investment in balancing the symmetry of inventory control, which directly affects the success of after-sales services. The success of after-sales services fundamentally depends on the possibility of symmetry balancing needs, supply and customer satisfaction. ![]()
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