2022
DOI: 10.1007/s11356-022-21302-x
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Multi-objective programming and Six Sigma approaches for a competitive pharmaceutical supply chain with the value chain and product lifecycle

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Cited by 6 publications
(5 citation statements)
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References 27 publications
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“…The study combines relevant literature and creative industry development practice to analyze the mechanism of each driving factor, ultimately constructing a model for the driving force behind virtual agglomeration in the creative industry. Shakouhi et al, (2022) pioneers an examination of two pharmaceutical supply chains (PSCs) based on product life cycle and marketing strategy. The Nash equilibrium between PSCs is established using marketing mix factors (price, value chain contribution, availability, and promotion) during distinct product life stages (introduction, growth, and maturity).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The study combines relevant literature and creative industry development practice to analyze the mechanism of each driving factor, ultimately constructing a model for the driving force behind virtual agglomeration in the creative industry. Shakouhi et al, (2022) pioneers an examination of two pharmaceutical supply chains (PSCs) based on product life cycle and marketing strategy. The Nash equilibrium between PSCs is established using marketing mix factors (price, value chain contribution, availability, and promotion) during distinct product life stages (introduction, growth, and maturity).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Online marketplaces streamline procurement processes, reducing costs (Bigliardi et al, 2022). OHCSCM improves efficiency and overcomes traditional challenges (Shakouhi et al, 2022; Yates et al, 2017). Implementing OHCSCM presents challenges.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…In this demonstration, they considered turnaround time and unwavering quality as non-deterministic parameters. Shakouhi, et al [18] examined two pharmaceutical supply chains beneath the item life cycle and marketing methodologies. This study included a multi-objective mixed-integer nonlinear programming model.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Equations 14 and 15 guarantee that the demand from pharmacies will be satisfied before the drug's perishability period. Relations ( 16) to (18) show the maximum capacity utilization of selected suppliers, production centers and distribution centers. Equation 19shows the total volume of drugs transferred to pharmacies by each distribution center.…”
Section: 𝑍 𝑙𝑐𝑣𝑡𝑠mentioning
confidence: 99%