Effects of variable production rate on quality of products in a single-vendor multi-buyer supply chain management

Sarkar, Biswajit; Majumder, Arunava; Sarkar, Mitali; Kim, Namhun; Ullah, Misbah

doi:10.1007/s00170-018-2527-3

Cited by 62 publications

(40 citation statements)

References 45 publications

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“…This study considered the inventory and pricing policy for only one player, however, in practice, every business directly deals with upstream and downstream linkages. Therefore, this study can be extended by considering more than one player, such as the models developed by Sarkar [9,10]; in this case, two different discount policies can be considered, discount for the final consumer and discount for the newsvendor. Another limitation of this study was that we considered only the single discount per period, considering multiple discounts in one period is a more practical extension of this study.…”

Section: Discussionmentioning

confidence: 99%

“…As most of the newsvendor models deal with profit maximization, however, a few models deal with the probability of exceeding a specified minimum profit, as in Lau [7] and Parlar and Kevin Weng [8]. Sarkar [9] considered a service level constraint and variable lead time with the min-max distribution free approach, Sarkar [10] considered distribution-free approach with buyback contracts.…”

Section: Literature Reviewmentioning

confidence: 99%

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Dynamic Pricing in a Multi-Period Newsvendor Under Stochastic Price-Dependent Demand

2019

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The faster growth of technology stipulates the rapid development of new products; with the spread of new technologies old ones are outdated and their market demand declines sharply. The combined impact of demand uncertainty and short life-cycles complicate ordering and pricing decision of retailers that leads to a decrease in the profit. This study deals with the joint inventory and dynamic pricing policy for such products considering stochastic price-dependent demand. The aim is to develop a discount policy that enables the retailer to order more at the start of the selling season thus increase the profit and market share of the retailer. A multi-period newsvendor model is developed under the distribution-free approach and the optimal stocking quantities, unit selling price, and the discount percentage are obtained. The results show that the proposed discount policy increases the expected profit of the system. Additionally, the stocking quantity and the unit selling price also increases in the proposed discount policy. The robustness of the proposed model is illustrated with numerical examples and sensitivity analysis. Managerial insights are given to extract significant insights for the newsvendor model with discount policy.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Pricing in a Multi-Period Newsvendor Under Stochastic Price-Dependent Demand

2019

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“…In today's modern industry, manufacturing systems are designed to control/vary the production rate within fixed limits to adjust the optimal level of productivity. Such systems are discussed in [36][37][38][39]. The study by [40] stated that a faster production rate affects the process quality (imperfect production) and performance quality (machine failure) of a manufacturing system which increases the number of lower quality products.…”

Section: Smart Production Systemmentioning

confidence: 99%

“…Furthermore, sensitivity analysis of the key input parameters is also provided. The modified values of input data are taken from [33,39] and are provided in Table 2. Table 2.…”

Section: Numerical Experimentsmentioning

confidence: 99%

An Automated Smart EPQ-Based Inventory Model for Technology-Dependent Products under Stochastic Failure and Repair Rate

Asghar

Kim

2020

Symmetry

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With the ever-growing technology development, high-tech products such as mobile phones, computers, electromagnetic devices and smart devices are facing high design and production modification requirements with relatively shorter life cycles. For instance, every forthcoming smart phone goes out of production in a shorter period after its launch, followed by its next generation. The design of high-tech products requires high investments in smart and automated manufacturing technology to ensure higher production efficiency. For high-tech products with short life spans, the manufacturing performance-quality variable is an important design parameter that affects system reliability, production efficiency and manufacturing costs. Major performance-quality factors of a manufacturing system which affect productivity and reliability of the manufacturing process are discussed in this research. The study investigates an integrated smart production maintenance model under stochastic manufacturing reliability for technology dependent demand and variable production rate. The smart unit production cost is a function of manufacturing reliability and controllable production rate, as a manufacturing system can be operated at different production rates within designed limits μ ϵ [ μ m i n , μ m a x ] . Manufacturing reliability is increased through investment in smart manufacturing technology and resources. The integrated smart production maintenance model is formulated under general failure and repair time distributions and the optimal production maintenance policy is investigated under specific failure and repair time distributions. A mathematical model is developed to optimize the manufacturing quality-performance parameter, variable production rate, per unit technology investment and production lot size. The total cost function is optimized through the Khun–Tucker method. The mathematical model is also validated with numerical analysis, comparative study, and sensitivity analysis for model key parameters.

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“…Moreover, integrated production-maintenance policies under uncertain production environments are worthy of investigation, as discussed in [53]. The study can be further extended to the concept [54] of imperfect production process for an unreliable manufacturing system, as production of defectives is inevitable.…”

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confidence: 99%

Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption

2019

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Expensive power cost is a significant concern in today’s manufacturing world. Reduction in energy consumption is an ultimate measure towards achieving manufacturing efficiency and emissions control. In the existing literature of scheduling problems, the consumption of energy is considered uncertain under the dimensions of uncertain demand and supply. In reality, it is a random parameter that also depends on production capacity, manufacturing technology, and operational condition of the manufacturing system. As the unit production cost varies with production rate and reliability of the manufacturing system, the energy consumption of the system also varies accordingly. Therefore, this study investigated an unreliable manufacturing system under stochastic production capacities and energy consumption. A stochastic production–inventory policy is developed to optimize production quantity, production rate, and manufacturing reliability under variable energy consumption costs. As energy consumption varies in different operational states of manufacturing, we consider three specific states of power consumption, namely working, idle, and repair time, for an integrated production–maintenance model. The considered production system is subjected to stochastic failure and repair time, where productivity and manufacturing reliability is improved through additional technology investment. The robustness of the model is shown through numerical example, comparative study, and sensitivity analysis of model parameters. Several graphical illustrations are also provided to obtain meaningful managerial insights.

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Effects of variable production rate on quality of products in a single-vendor multi-buyer supply chain management

Cited by 62 publications

References 45 publications

Dynamic Pricing in a Multi-Period Newsvendor Under Stochastic Price-Dependent Demand

Dynamic Pricing in a Multi-Period Newsvendor Under Stochastic Price-Dependent Demand

An Automated Smart EPQ-Based Inventory Model for Technology-Dependent Products under Stochastic Failure and Repair Rate

Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption

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