Abstract
This study explains about a serial smart production system where a single-type of product is produced. This system uses an unequally sized batch policy in subsequent stages. The setup cost is not always deterministic, it can be controllable and reduced by increasing the capital investment cost, and that the production rates in the system may vary within given limits across batches of shipments. Furthermore, as imperfect items are produced in long-run system, to clean the imperfectness autonomation policy is adopted for inspection, which make the process smarter. The shipment lot sizes of the deliveries are unequal and variable. In long-run production system, defective items are produced in “out-of-control” state. In this model, the defect rate is random with a uniform distribution which is clean from the system by autonomation. In addition, in the remanufacturing process, it is assuming that all defective products are repaired, and no defective products are scrapped. The main theme of developing this model is to determine the number of shipments and the optimal production lot size to adjust the production rates and decrease the total system cost under a reduced setup cost by considering the discrete investment and make a serial smart production system. A solution procedure along with an advanced algorithm was proposed for solving the model. Numerical examples with some graphical representations are provided to validate the model.
Highlights
The managements of a serial or multi-stage production process (MSPP) have fetched an enormous contract of consideration in recent decades
This is an extended work of Glock [16] to an imperfect serial production system (ISPS) with a random, uniform distributed defective rate, in which all scrap items are repaired in the same cycle
Glock [16] extended his own model to a multi-stage from two stage production period line, and he developed a generalized model for equal-sized and unequal-sized batch shipment policy (USBSP) but he ignored about the setup reduction by an investment as controllable production setup is costly and a huge investment is needed there and without initial investment, it is almost impossible
Summary
The managements of a serial or multi-stage production process (MSPP) have fetched an enormous contract of consideration in recent decades. Controlling the production rate is an effective method at the operational level. In the production process, reducing excessive inventory can decrease the costs associated with production, hoarding, and transporting products. With this in mind, the manager must choose the economic lot size. Performance with a random defective rate and imperfect remanufacturing process in a production model (PM) was explained by Chiu et al [7]. Maddah and Jaber [9] developed an inventory model with unreliable supply, imperfect quality (IQ), and a screening process and they evaluated the effects of screening facilities and fluctuation of the supply system on the ordered products. Investigated an economic production model (EPM) where the effect of warm-up period on defective products are described in a cleaner production system
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