Effects of Unequal Lot Size and Variable Transportation in Unreliable Supply Chain Management

Abstract

The effect of unreliable players on the supply chain management with a single-setup-multi-unequal-increasing-delivery-policy (SSMUID) along with a service-dependent demand and investment is discussed in this model. The manufacturer is unreliable which causes an increase of lead time and shortage. For solving the shortage problem and reducing lead time crashing cost (LTCC), an investment is utilized with the variable backorder price discounts. The number of transportation increases due to the new transportation policy and it causes pollution. Besides the fixed transportation and carbon emission cost (FTCEC), a container dependent carbon emission cost is applied. Some investments for setup cost reduction (SCR), ordering cost reduction (OCR), and quality improvement (QI) are considered. The lead time demand follows a normal distribution. The total cost of the supply chain is optimized and the model is tested numerically. The main intent of this study is to solve the shortage problem which occurs due to unreliability of the manufacturer. The study helps to reduce the unreliability issue of the manufacturer. The objective function is solved by using the classical optimization technique. Numerical results show that the discount for partial backorder enhances the profitability of the manufacturer. The sensitiveness of the parameters are discussed through the sensitivity of analysis and some special cases. Managerial insights provide the applicability of this study among different sectors.

Controlling Random Lead Time Demand Through a Flexible Production System Under Supply Chain Management

“…It is proved that SSMD policy converges over the singlesetup-single-delivery policy. However, it is possible to extend the transportation strategy with single-setup-multiunequal-delivery or single-setup-multi-unequal-increasingdelivery (SSMUID) policy (Hota et al, [44]). The transportation discount offer for buying more products can be allowed for SSMUID policy.…”

Inventory Model with Fixed Shelf Life under Generalized Non-Increasing Demand

“…We list comparisons among our new model and those existing systems to illustrate our contribution to the academic society (Table 1). Aiello et al [20] Avinadav [34] Avinadav and Arponen [13] Avinadav et al [14] Avinadav et al [18] Avinadav et al [27] Bhuiya et al [40] Chernonog [35] Chernonog andAvinadav [31] Chuang and Lin [21] De Giovanni [9] Demirag [28] Ganguly et al [41] Gładysz et al [7] Hanukov et al [32] Hanukov et al [36] Herbon [19] Hota et al [42] Khan et al [43] Kim et al [44] Krommyda et al [37] Lee et al [3] Leśniewski and Bartoszewicz [15] Lin et al [11] Ma [22] Malik and Sarkar [10] Mishra et al [45] Muriana [23] Muriana [25] Muriana [29] Muriana [38] Orynycz et al [8] Sarkar et al [1] Sharma et al [30] Taleizadeh et al [46] Yang et al [12] Zimpel-Leal and Lettice [4] Sarkar [47] Sarkar [48] Sepehri et al [49] This study Abbreviations for the first row: S1: Sustainable; B: Backordering; L: Lean management; S2: Supply chain; P1: Pricing; S3: Shelf-life; W: Waste management; P2: Perishable.…”

Optimal Replenishment Policy for Deteriorating Products in a Newsboy Problem with Multiple Just-in-Time Deliveries

“…Due to the possible defective products as a result of an imperfect production process [44][45][46][47][48], the company may provide a product warranty; the warranty costs are influenced by the product quality and price. Daryanto and Wee [49] were among the first authors to investigate the joint effect of imperfect production for deteriorating items, and Shaw et al [50] developed an inventory model for repairable deteriorating items.…”