A stochastic periodic review inventory model for vendor–buyer system with setup cost reduction and service–level constraint

Jauhari, Wakhid Ahmad; Saga, Rendy Surya

doi:10.1080/21693277.2017.1401965

Cited by 19 publications

(9 citation statements)

References 47 publications

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“…However, the joint total cost function may not be convex in Q. This property was commonly found by some scholars, i.e Ben-Daya and Hariga [34], Glock [35], Jauhari and Saga [36], when solving a stochastic inventory problem. By setting equations ( 22)-( 25) equal to zero, rearranging and simplifying the terms, we obtain…”

Section: Solution Proceduresmentioning

confidence: 92%

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

et al. 2021

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In this paper, we present a sustainable electrical energy supply chain system (SEESCS) where two supply chain parties are involved, namely a power plant and a transmission station. The power plant has two different types of power generation systems. The first power generation system (PG1) is more costly but it generates lower emissions than the second system (PG2). The model is developed based on a lot-sizing inventory problem to decide the load allocation between PG1 and PG2. The objective function is to minimize total costs that consist of energy generation cost and emission cost. The transmission station faces a stochastic demand and employs a continuous review policy to manage the electrical energy storage. An efficient procedure is developed to solve the model and a sensitivity analysis is carried out to explore the impact of changes in some key parameters on the model's behavior. The results show that the allocation of electricity generation is mostly influenced by the change in PG1's production cost parameter and PG2's emissions parameters. In addition, the amount of emissions generated from the system is significantly affected by the variation in PG1's production cost parameter, PG2's emissions parameters, and electricity demand.

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Section: Solution Proceduresmentioning

confidence: 92%

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

et al. 2021

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“…Sarkar [28] considered three-stage inspection policy for inspecting initially, per delivery, and per lot. Jauhari and Saga [29] explained about a JELP problem with fuzzy demand and ordering cost. They used adjustable production rate within a certain range.…”

Section: B Inspection Policy To Identify Defective Productsmentioning

confidence: 99%

“…Because it is a long-run production system, the machine may go to the uncontrollable state from the under-control state and starts to produce defective items. A flexible production rate is considered for the production system where P ∈ [P min , P max ] (Jauhari and Saga [29]).…”

Section: B Notationmentioning

confidence: 99%

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

Sarkar

Chung

2021

IEEE Access

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This study proposes a supply chain management model with a flexible production rate and a price discount offer for the backorder situation, where the ordering cost is lead time dependent. This lead time demand may follow a known distribution, or it may not have any specified distribution with the aim of minimization of supply chain cost under the simultaneous optimization of the production rate, lot size in each shipment, number of shipments, lead time, probability of movement of uncontrolled state to controlled state, safety factor, and price discount backorder. Three-types of inspections are considered to maintain the quality of products. Three different algorithms are designed to solve the model numerically. Three numerical experiments have been considered to validate the stability of this study. The average total cost for the triangular distribution reveals the minimum total cost of the supply chain management. The comparison with the existing literature demonstrates the major benefit of flexible production rate. It provides the reduction of movement of uncontrolled state probability during flexibility of the production rate, which indicates the reduction of defective products. The effectiveness of the key parameters has been tested through a sensitivity analysis. The results show that the material cost parameter is most sensitive parameters among all cost parameters. Quality improvement cost is another sensitive parameter which is obtained from the sensitivity analysis. Finally, this model converges over the existing literature through several aspects like movement of uncontrolled probability, the reduction of defective product and total supply chain cost.INDEX TERMS Supply chain management, flexible manufacturing, random lead time demand, lead time dependent ordering cost, lead time crashing cost.

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“…Khan et al (2016) developed a coordinated inventory control model for items with inferior quality for a vendor and a buyer in a supply chain where the vendor has the responsibility of managing the inventory at the buyer's facility. Jauhari and Saga (2017) developed an extension of the integrated vendor-buyer inventory control system with imperfect quality items by considering the demand rate to be stochastic, the ordering cost to be fuzzy and the (vendor's) production rate to be flexible. Castellano et al (2017) studied an inventory control system with quality considerations, price discounts based on permitted shortages, stochastic demand and controllable lead time under a periodic review policy.…”

Section: Integrated Inventory Systems With Imperfect Quality Itemsmentioning

confidence: 99%

Optimal inventory replenishment and shipment policies in a four-echelon supply chain for growing items with imperfect quality

Sebatjane

Adetunji

2020

Production & Manufacturing Research

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Quality control is an important consideration in food production systems which often start with farming and processing operations and finish with consumption. This study develops an integrated inventory control model for a four-echelon supply chain (with farming, processing, screening and retail operations). The farmer grows newborn items and then delivers them to a processor once the items are mature enough. At the processing plant, the items are slaughtered, processed, packaged and screened for quality. The processor then delivers a certain number of equally sized batches of good quality processed inventory to the retailer who satisfies customer demand for good quality processed inventory. The processor sells the processed poorer quality inventory at a discounted price and as a single batch to secondary markets. The proposed supply chain inventory system is formulated as a profit maximisation problem with the number of batches of good quality processed inventory and the order quantity as the decision variables.

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A stochastic periodic review inventory model for vendor–buyer system with setup cost reduction and service–level constraint

Cited by 19 publications

References 47 publications

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

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

Optimal inventory replenishment and shipment policies in a four-echelon supply chain for growing items with imperfect quality

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