The Effects of Cognitive and Skill Learning on the Joint Vendor–Buyer Model with Imperfect Quality and Fuzzy Random Demand

This study investigates the optimization of an integrated production–inventory system that consists original equipment manufacturer (OEM) supplier and OEM brand company. The cognitive skill learning effect, imperfect quality, fuzzy random demand are incorporated into two-echelon supply chain model to minimize total cost. We contribute dividing effect learning, we build a new curve resemble real complexity more closely avoid problem production time tends towards zero after is stable. In total, five models constructed. Furthermore, solution procedure designed solve obtain optimal order quantities, shipment size. Additionally, symbolic distance method used deal with inverse fuzzification. Then numerical analysis shows increase coefficient will reduce cost system. With coefficient, gap between Wright correspondingly decreases consistently. However, there consistent corresponding increase. hyperbolic characteristics. important insights this for managers employees’ knowledge plays role in reducing costs early stage humanistic management measures should be taken turnover. Compared training technicians, pay attention learning.