A multi objective-BSC model for new product development project portfolio selection

Abbasi, Darya; Ashrafi, Maryam; Ghodsypour, Seyed Hassan

doi:10.1016/j.eswa.2020.113757

Cited by 33 publications

(24 citation statements)

References 37 publications

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“…Table 3 summarizes the performance measurements and their definitions. As mentioned in Table 3, the higher values of QM indicate the supremacy of the proposed algorithm as well as the lower values of SM, MID, and computation time [35]. Table 4 shows the comparison results of the described metrics.…”

Section: Computational Experimentsmentioning

confidence: 95%

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Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty

Tikani

Setak

Abbasi

2021

Journal of Advanced Transportation

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In this paper, we studied a stochastic bi-objective mathematical model for effective and reliable rescue operations in multigraph network. The problem is addressed by a two-stage stochastic nonlinear mixed-integer program where the reliability of routes is explicitly traded-off with total weighted completion time. The underlying transportation network is able to keep a group of multiattribute parallel arcs between every pair of nodes. By this, the proposed model should consider the routing decision in logistic planning along with the path selection in an uncertain condition. The first stage of the model concerns with the vehicle routing decisions which is not involved with random parameters; besides, the second stage of the model involves with the departure time at each demand node and path finding decisions after observation of random vectors in the first stage considering a finite number of scenarios. To efficiently solve the presented model, an enhanced nondominated sorting genetic algorithm II (NSGA-II) is proposed. The effectiveness of the introduced method is then evaluated by conducting several numerical examples. The results implied the high performance of our method in comparison to the standard NSGA-II. In further analyses, we investigated the beneficiary of using multigraph setting and showed the applicability of the proposed model using a real transportation case.

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Section: Computational Experimentsmentioning

confidence: 95%

“…We assume that the second scenario has a lower traffic condition in comparison to the first one. To this end, the speeds are generated in the interval [20,35]. Moreover, the threshold in the semisoft TW is defined as same as the upper bound of Tikani and Setak [2] and…”

Section: Computational Experimentsmentioning

confidence: 99%

Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty

Tikani

Setak

Abbasi

2021

Journal of Advanced Transportation

Self Cite

View full text Add to dashboard Cite

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“…Next, the reachable set R(t i ) is obtained by using Equation (4). The intersection value of each item in the row (vertical) and column (horizontal) was set to 1, and the antecedent set A(t i ) was obtained using Equation (5); the intersection set of these two sets was obtained using Equation (6).…”

Section: Forming the Sim Network Structurementioning

confidence: 99%

“…Processes 2022, 10, 1205 2 of 21 Under the challenge of rapid technological change, the dramatic shrinkage of product life cycles and the incessant advent of competitors in the market, new product development is vital for the survival and growth of enterprises [6] and is considered a key strategic activity that is critical to long term success [7]. Product innovation, valid quality, and low cost are three major competitive advantages for present worldwide enterprises.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Multiple-Criteria Decision-Making Model for New Product Development: The Case of Taiwan Organic Light-Emitting Diode Industry

2022

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Due to the strong demand for organic light-emitting diode (OLED) display products and the highly competitive global market, OLED enterprises need to proactively make product innovations for presuming business competitive advantage, high sales, high profits, high customer consuming value, and the sustainability of the enterprise. A suitable multi-criteria decision-making (MCDM) model for OLED new product development (NPD) can help OLED enterprises’ R&D team to minimize risks and maximize the success rate of NPD. However, the literature reviews of the MCDM model for OLED NPD are very rare. This study aims to propose the approaches for establishing an integrated MCDM model for OLED NPD that apply three methodologies which include the literature review and expert panel, Interpretive structural modeling (ISM), and Fuzzy analytic network process (FANP). Meanwhile, after the implication of the proposed approaches in the case study of Taiwan OLED NPD, this study proposes an integrated MCDM model for OLED NPD in Taiwan. The research results reveal fifteen evaluation criteria of OLED NPD and their relative weight. Furthermore, the research results reveal the top three important criteria are return on investment, expert research and industry evaluation, and R&D funding preparation. The proposed approaches can be applied in other industries for establishing an integrated MCDM model for their own NPD. The proposed integrated MCDM model for OLED NPD in Taiwan can help enterprises in the Taiwan OLED industry to develop new OLED products in an efficient way and to boost sales, profits, and competitive advantages. Besides, this study enriches the research references of MCDM model for NPD and OLED field.

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“…3) Evaluation: The desirability of the model selected in the first round and estimated in the second round is evaluated at the last stage based on criteria considered for the same purpose [27].…”

Section: The Arma Modelmentioning

confidence: 99%

The Biomass Supply Chain Network Auto-Regressive Moving Average Algorithm

2021

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Renewable power plants contribute almost insignificantly in the country's electricity supply. Due to the environmental uncertainty and the rapid development of modern technology in the recent century, it is usually necessary to predict future situations using insufficient data over a short period. Renewable fuels and biofuels as a significant replacement for fossil fuels have been of great interest in recent decades. Optimum design of supply chains is an essential requirement for the commercial production of biofuels. This research has employed mathematical optimization and a mixed integrated linear programming (MILP) approach for the feedstock pathway to the fuel supply chain (BSC) scenario. The further examination includes the effect of the autoregressive moving average (ARMA) time series structure for the demand of biofuels on the design of the supply chain. After developing the model, a numerical example of 8 years was used in the supply chain to gain a wider perspective. The results showed that the optimal cost can be determined and 4 valid locations were adopted out of 10 proposed refinery building sites. Finally, it evaluates and validates the proposed model with experimental results.

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A multi objective-BSC model for new product development project portfolio selection

Cited by 33 publications

References 37 publications

Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty

Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty

An Integrated Multiple-Criteria Decision-Making Model for New Product Development: The Case of Taiwan Organic Light-Emitting Diode Industry

The Biomass Supply Chain Network Auto-Regressive Moving Average Algorithm

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