An integrated vendor–buyer inventory model with transportation cost and stochastic demand

Wangsa, Ivan Darma; Wee, Hui–Ming

doi:10.1080/23302674.2017.1296601

Cited by 14 publications

(5 citation statements)

References 34 publications

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“…Different forms of sustainable production inventory models have been proposed with most of the previous studies discovered to have focused on minimizing one indicator of the environmental aspect such as electricity costs (Gautam et al, 2022), fuel consumption (Sarkar et al, 2017;Utama et al, 2022a;Wangsa & Wee, 2018), and emissions (Jaber et al, 2013;Jauhari et al, 2022;Ullah et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Sustainable Production-Inventory Model with Multi-Material, Quality Degradation, and Probabilistic Demand: From Bibliometric Analysis to A Robust Model

Utama

Santoso

Hendrawan

et al. 2022

Indonesian J. Sci. Technol

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An adequate sustainable production inventory model is expected to represent complex real-life cases involving fuel, emissions, and electricity costs as well as multi-materials, quality degradation, and probabilistic demand. Therefore, this study was conducted to develop this kind of model to determine the number of raw material shipments (), production cycle time (), and the number of finished goods delivered (n) to maximize the Expected Total Profit (ETP). The proposed model is based on a bibliometric literature analysis of the sustainable production-inventory problem which is visualized using the VOSviewer. Moreover, a sophisticated Harris-Hawks Optimization (HHO) algorithm was proposed to solve the problems identified in the sustainable production inventory model optimization. It is also important to note that three numerical cases were provided to evaluate the performance of the algorithm. The findings showed that the suggested HHO method outperforms the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in maximizing ETP and this means it is better for ETP optimization. It was also discovered from the sensitivity analysis that an increase in the rate of quality degradation (k) led to a reduction in both the ETP and T.

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Section: Introductionmentioning

confidence: 99%

Sustainable Production-Inventory Model with Multi-Material, Quality Degradation, and Probabilistic Demand: From Bibliometric Analysis to A Robust Model

Utama

Santoso

Hendrawan

et al. 2022

Indonesian J. Sci. Technol

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“…Many researchers have investigated economic and environmental sustainability of logistics systems [1][2][3][4][5][6]. Economic and environmental aspects of sustainability in logistics systems have been extensively studied.…”

Section: Introductionmentioning

confidence: 99%

Development of a Lot-Sizing Model to Prevent Heat Stress and Work-Related Musculoskeletal Disorders

Korkulu

Bóna

2021

Promet

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Management of heat stress and metabolic cost is vital for preventing any work-related disorders. In this paper, we integrated rest time formulations for heat strain and metabolic cost to develop a new lot sizing model for preventing heat exposure and work-related musculoskeletal disorders. The effects of heat strain and rest allowance on the total cost of the production supply process were investigated. The problem studied in this paper was the handling of the raw materials placed in boxes by manual material handling in order to supply the material requirement of a production line placed in a production area. For the realisation of the material handling transactions between the raw material warehouse and the production line, Electric Pallet Jack (EPJ) was used. The study covers the investigation of picking, storing, and carrying motions for the manual handling of these materials. The result of the analysis has shown that 8.5% savings were achieved by using the heat strain and rest time in comparison to the total cost of this part of the production line supply process with the ISO 7243 maximum metabolic work limit. Consequentially, the analysis results showed that the developed method demonstrated the viability of lot sizing model optimisation with multiple objectives and complex constraints with regards to the metabolic cost and heat strain.

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“…They discussed random lead-time demand, which did not follow any known distribution function. The stochastic demand pattern was discussed by Wangsa and Wee [6].…”

Section: Introductionmentioning

confidence: 99%

How Does Advanced Technology Solve Unreliability Under Supply Chain Management Using Game Policy?

Sardar

Sarkar

2020

Mathematics

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Presently, it is essential to increase customer service such that the Supply Chain Management (SCM) can earn more profit in a sustainable manner. In the supply chain, the manufacturer and the retailer are two players who try to maintain the joint profit of the Supply Chain (SC) without only thinking about their own respective profits. However, the retailer may not provide all information to the manufacturer. This research introduces the use of the advanced technology Radio Frequency IDentification (RFID) in a retailer’s shop to obtain exact information about customer demand. A consignment policy is used to increase the manufacturer profit, and a fixed fee is offered to the retailer to generate more profit in coordination with the manufacturer. This study is conducted with and without the effect of RFID to show the benefit of SCM even when the retailer is unreliable. Both models are solved using the classical optimization technique. Numerical findings prove that SCM can benefit from the outcome of this study even for unreliability. Coordination within SCM can be maintained for a long time by using the proposed recommendations of this study.

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An integrated vendor–buyer inventory model with transportation cost and stochastic demand

Cited by 14 publications

References 34 publications

Sustainable Production-Inventory Model with Multi-Material, Quality Degradation, and Probabilistic Demand: From Bibliometric Analysis to A Robust Model

Sustainable Production-Inventory Model with Multi-Material, Quality Degradation, and Probabilistic Demand: From Bibliometric Analysis to A Robust Model

Development of a Lot-Sizing Model to Prevent Heat Stress and Work-Related Musculoskeletal Disorders

How Does Advanced Technology Solve Unreliability Under Supply Chain Management Using Game Policy?

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