Inventory Control Policy for Imperfect Production Process on Various Demand and Fuzzy Nature: Latest Trend

Author:Kamal Kumara, Ashok Kumarb*, and Promilac

Abstract:
We learn about reviews of some inventory models for imperfect objects with various demands and fuzzy nature. During manufacturing, firstly, there produce a perfect object. We can say that production is an in-control state. But after some time it provides imperfect objects we can say that production change from in-control state to out of control state but there ignored of defective items. If the faulty items reached the customer, there are refunds and due to which extra cost suffered. To protect this, some researchers work on it. For this few of the researchers, take demands the triangular fuzzy number. Shortages are acceptable and partially backlogged. Demand is proportional to time. Production and repair rate are the function of demand, due to which repair rate and production both depend on the time. Some of the researchers take costs in fuzzy nature and the repair process used on imperfect objects. For discovering the imperfect quality, all objectives are screened before they sent for ingesting. All defective objects are peddled at discount prices. The old idea of fuzziness of the fuzzy parameters was the same always, but due to the real-life human experience, the fuzziness activated to eliminate from the system over time. Mostly researcher firstly takes the non- fuzzy model (crisp model) and then fuzzification the model to find the decision. They fuzzification holding cost, shortage cost, and set up the price by the triangular and trapezoidal fuzzy numbers to find the overall price. The complete profit function is defuzzify by the graded mean integration method.

Keywords:Key Words: Inventory, Imperfect, Triangular fuzzy, Trapezoidal, Partially backlogged, Graded mean integration method.

DOI:10.46333/ijtc/9/1/19

International Journal of Trade & Commerce (Vol: 9 Issue:1)