A new production and shipment policy for a coordinated single-vendor single-buyer system with deteriorating items

Ya, Liu; Li, Qingpu

doi:10.1016/j.cie.2018.12.059

Cited by 10 publications

(6 citation statements)

References 22 publications

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“…Lee and Kim [59] projected the I-SVSB-IP model by considering deteriorating and defective items. Liu et al [60] suggested the I-SVSB-IP model with declining production and shipment policy items. A model considering learning effect, fuzzy demand, and imperfect quality were also proposed by Fu et al [61].…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimization of Joint Economic Lot Size Model for Vendor‐Buyer with Exponential Quality Degradation and Transportation by Chimp Optimization Algorithm

2022

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Freight transportation plays a critical role in improving company performance in the modern manufacturing industry. To reduce costs, companies must take advantage of the use of large vehicles. It caused fewer deliveries, but inventory costs and degradation quality are high. One of the joint economic lot size (JELS) problems in supply chain is Integrated Single-Vendor Single-Buyer Inventory Problem (I-SVSB-IP). This study developed the I-SVSB-IP model that considers raw materials’ exponential quality degradation and transportation costs. The objective function of this research was to maximize the Joint Total Profit (JTP). Three decision variables used were inventory cycle time (T), raw material ordering frequency (m), and frequency of delivery of finished products to buyers (n). This study proposed a sophisticated Chimp Optimization Algorithm (ChOA) procedure to solve the I-SVSB-IP problem. A case study on the food industry in Indonesia was presented to optimize the I-SVSB-IP. The results showed that the ChOA procedure had produced an optimal solution compared to the state-of-the-art algorithm. This study also demonstrated a sensitivity analysis of decision and transportation variables to cost, revenue, and JTP. The results show that increasing transport frequency of ordering raw materials (m) and finished products to buyers (n) enhances the total cost and reduces joint total profit. In addition, increasing the rate of quality degradation of raw materials reduces JTP.

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Section: Literature Reviewmentioning

confidence: 99%

“…Based on previous studies, research that discusses quality degradation is scarce. Only four papers were recorded discussing deteriorating and defective items as presented by Liu et al [60], Fu et al [61], Fauza et al [34], and Lee and Kim [59]. A food product is one of the products that have unique characteristics.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Joint Economic Lot Size Model for Vendor‐Buyer with Exponential Quality Degradation and Transportation by Chimp Optimization Algorithm

2022

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“…The inventory holding cost is calculated by multiplying the inventory holding cost per unit per period by the average inventory during PCT, as presented in Eq. (7).…”

Section: Total Inventory Holding Costmentioning

confidence: 99%

“…Coordination between the vendor and buyer is one of the factors for successful supply chain management in the singlevendor, single-buyer supply chain system [7]. A traditional management approach in such a system typically employs a push backward or reactive approach, in which the buyer optimises its decision and the result is pushed backward to the vendor.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of the Single-Vendor Single-Buyer Supply Chain System under Fuzzy Demand Using Optimisation–Simulation Closed Loop Technique

Purnomo¹,

Wahab²,

Anugerah³

2022

MMEP

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This research aims to model and optimise the most applicable supply chain system, which is a single-vendor single-buyer system with fuzzy buyer demand. An optimisation model of the supply chain system under consideration is built by formulating the objective function, which is minimising the joint total cost between a buyer and a vendor. The model is developed on the basis of a simulation system, and optimisation is carried out by utilising a Genetic Algorithm that has been embedded in the simulation system. This technique is called optimisation–simulation closed loop. The vendor actual condition, which deals with uncertain demands from the main buyer and other small buyers, is considered. To analyse timely supply chain events, a simulation system is developed. A new optimisation model for the single-vendor single-buyer supply chain system with fuzzy demand is developed on the basis of the simulation system. The use of optimisation–simulation closed loop is also a new finding. In this study, the optimisation model of the supply chain under consideration is developed by taking into account a specific condition in which the vendor receives demands from the main buyer and other small buyers. Naturally, buyer demand is uncertain and has been modelled using a fuzzy set. The use of optimisation–simulation closed loop enables the supply chain to make the optimum decision when at the steady state condition.

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“…Effective inventory management system to enhance the operational efficiency and competitiveness of enterprises requires the integration of the entire supply chain system [4]. The advances in information, communication technologies, and supply chain management (SCM) tools have encouraged managers to seek a full integration and close collaboration; see for instance, [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

An Algebraic Decision Support Model for Inventory Coordination in the Generalized n-Stage Non-Serial Supply Chain with Fixed and Linear Backorders Costs

2020

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This paper extends and generalizes former inventory models that apply algebraic methods to derive optimal supply chain inventory decisions. In particular this paper considers the problem of coordinating production-inventory decisions in an integrated n-stage supply chain system with linear and fixed backorder costs. This supply chain system assumes information symmetry which implies that all partners share their operational information. First, a mathematical model for the supply chain system total cost is formulated under the integer multipliers coordination mechanism. Then, a recursive algebraic algorithm to derive the optimal inventory replenishment decisions is developed. The applicability of the proposed algorithm is demonstrated using two different numerical examples. Results from the numerical examples indicate that adopting the integer multiplier mechanism will reduce the overall total system cost as compared to using the common cycle time mechanism.

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A new production and shipment policy for a coordinated single-vendor single-buyer system with deteriorating items

Cited by 10 publications

References 22 publications

Optimization of Joint Economic Lot Size Model for Vendor‐Buyer with Exponential Quality Degradation and Transportation by Chimp Optimization Algorithm

Optimization of Joint Economic Lot Size Model for Vendor‐Buyer with Exponential Quality Degradation and Transportation by Chimp Optimization Algorithm

Optimisation of the Single-Vendor Single-Buyer Supply Chain System under Fuzzy Demand Using Optimisation–Simulation Closed Loop Technique

An Algebraic Decision Support Model for Inventory Coordination in the Generalized n-Stage Non-Serial Supply Chain with Fixed and Linear Backorders Costs

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