Investment for process quality improvement and setup cost reduction in an imperfect production process with warranty policy and shortages

Guchhait, Rekha; Dey, Bikash Koli; Bhuniya, Shaktipada; Ganguly, Baisakhi; Mandal, Buddhadev; Bachar, Raj Kumar; Sarkar, Biswajit; Wee, Hui–Ming; Chaudhuri, Kripasindhu

doi:10.1051/ro/2018101

Cited by 35 publications

(14 citation statements)

References 37 publications

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“…The business can be spread through multiple number of retailers. Extra service facilities can be included within the study [45][46][47][48] for deteriorating products and non-zero random lead time. The quality improvement [49,50] and preservation technology [28,29] for deteriorating products can improve the study in a realistic way.…”

Section: Discussionmentioning

confidence: 99%

Pricing Decision within an Inventory Model for Complementary and Substitutable Products

et al. 2019

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A combination of substitutable and complementary products is very important for any business industry to make all-round profit from different aspects. How deterioration affects complementary products or substitutable products is discussed in this study. This study investigates the pricing and inventory decisions for complementary and substitutable items which are deteriorating in nature. Four models are analyzed where the demand of one product is dependent upon the selling price and the price of another product. This paper tries to compute the optimum prices and order quantities to optimize the total profit, which is the main aim. Theoretically, this model is solved by a classical optimization method. Numerical examples demonstrate the applicability of this model. Results conclude that the total profit is dependent on the degree of substitutability and complementarity. A sensitivity analysis of optimal solutions is given to test the stability of the proposed model.

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Section: Discussionmentioning

confidence: 99%

Pricing Decision within an Inventory Model for Complementary and Substitutable Products

et al. 2019

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“…For numerical experiments, data of the parameters are taken from Sarkar et al [8] and Dey et al [74]: F a = 34,000, F b = 10,500, α 1 = 2.2, α 2 = 1.5, P ub = $0.2/unit, h B = $1.2/unit, µ = 2, O c 0 = $90, g = 25, I = $10/unit, T D = $2/unit, α = $5/unit, A S = $2/unit,C wd = $0.5/unit, C ph = $2/unit, C vw = $10/unit, C lw = $2/unit, P r = 200 unit, P uv = $2.6/unit, H c = $1.7/unit, b = 40, P θ 0 = 0.001, F ccv = $2/unit, V ccv = $1.2/unit, F T = $1.4/unit, V T = $2.2/unit. The value of scaling parameters for Uniform distribution are given by (0.03, 0.07), Triangular distribution are given by (0.04, 0.07, 0.05), and Beta distribution are given by (0.03, 0.07).…”

Section: Example For Normal Distributionmentioning

confidence: 99%

A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand

et al. 2021

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Every industry always tries to provide the best service to its consumers. To provide better service to the consumer and optimize profit, a sustainable online-to-offline retailing strategy is proposed in this current study. Both online and offline systems are considered here, i.e., to provide the best service, the industry sells its products online and offline. Due to the consideration of online and offline systems, the selling price of the products is also different for different modes, and the demand for a particular product is the combined demand of online demand and offline demand, which depend on the selling price of the product. Moreover, the exact lead time and exact backorder are calculated to obtain the system’s exact cost or profit, which directly improves the system’s service. Different investments are incorporated to optimize the total system profit. A distribution-free approach is utilized to solve this model. Numerical examples are provided to prove the applicability of the model in reality. Sensitivity analysis is performed based on critical parameters. Special cases and graphical representations also prove the global optimality of the current study.

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“…They considered limited production capacity with delay-in-payments and partial backorder. Guchhait et al [27] discussed a defective product-based production model with a backorder and warranty policy. Their model introduced QI matter and SCR to optimize the expected joint cost.…”

Section: Literature Reviewmentioning

confidence: 99%

A Smart Production Process for the Optimum Energy Consumption with Maintenance Policy under a Supply Chain Management

et al. 2020

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In the current socio-economic situation, smart products are essential for daily life. Energy is a very much related matter to smart products. To buy a smart product, people mostly care about that smart product’s energy consumption and the price. There is always a tug-of-war between the price of the product and the energy consumption of that product. An energy-efficient smart production system is described in this study where the production is variable, and in the out-of-control state, it produces defective products. For prevention of the out-of-control state, preventive maintenance and restoration are used within the smart production system. The rework policy helps to profit from the defective products, and the warranty policy helps to motivate the users. This model applies an improved strategy to the production process and develops a new product that needs to be marketed. Finally, this model plays a vital role in creating smart products with moderate energy consumption at a minimal cost. The mathematical model is a non-linear profit maximization problem that is solved both analytically and numerically. The classical optimization technique founds optimum solutions. Different numerical examples and sensitivity analysis with graphs are used to validate the mathematical model.

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Investment for process quality improvement and setup cost reduction in an imperfect production process with warranty policy and shortages

Cited by 35 publications

References 37 publications

Pricing Decision within an Inventory Model for Complementary and Substitutable Products

Pricing Decision within an Inventory Model for Complementary and Substitutable Products

A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand

A Smart Production Process for the Optimum Energy Consumption with Maintenance Policy under a Supply Chain Management

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