An integrated Bayesian-Game theoretic approach for product portfolio planning of a multi-attributed product in a duopolistic market

Expectation‐Maximization Algorithm of Gaussian Mixture Model for Vehicle‐Commodity Matching in Logistics Supply Chain

“…Constraints ( 3) and ( 7) are simplified. Let i, j, k be set as an effective equation representing the equivalent route 3) and constraint (7) only allow the same vehicle; that is, y…”

“…Logistics system modeling and simulation technology are feasible and reliable to find optimal solutions for the order allocation and logistics distribution [5,6]; Goswami et al [7]. Yang et al [5] formulated a cooperative rich vehicle routing problem (CoRVRP) for three typical logistics providers in the last-mile rural logistics system and it is solved by a new branch-price-and-cut algorithm.…”

“…Patidar et al [6] designed the vehicle routing for the collection of agrifood products from farmers to the market based on GA and PSO in India. Goswami et al [7] developed a Bayesian game-theoretic framework of product portfolio planning problem to find the right product portfolio set for the manufacturers, considering the duopolistic market and the product type. In the aspect of problems, the existing research has paid attention to the optimization of the logistics service process and the balance of interests of logistics service providers, but there is a gap in matching subprocess links in micrologistics service.…”

Model-based approaches for technology planning and roadmapping: Technology forecasting and game-theoretic modeling

“…Similar research (Davison et al, 2015) has been devoted to defining and plotting 'evolution' pathways within a tradespace in the form of the weighted directed graph where nodes are possible architectures. In Goswami et al (2016); Sadeghi et al (2011), product portfolio management is considered as a combinatorial optimization problem for a competitive duopolistic market. The focus of Goswami et al (2016) is to develop a Bayesian-Game theoretic framework for planning problem thereby aiding the manufacturers operating across the variety of product industries to offer the right product portfolio set.…”

“…In Goswami et al (2016); Sadeghi et al (2011), product portfolio management is considered as a combinatorial optimization problem for a competitive duopolistic market. The focus of Goswami et al (2016) is to develop a Bayesian-Game theoretic framework for planning problem thereby aiding the manufacturers operating across the variety of product industries to offer the right product portfolio set. Initially, feasible product portfolio candidates are generated as combinations of different product attributes and their attribute levels employing the attribute compatibility constraints.…”