An Efficient Approach for Solving Integrated Production and Distribution Planning Problems

Zeddam, Besma; Belkaid, Fayçal; Bennekrouf, Mohammed

doi:10.4018/ijal.2020070102

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…Also, (A. Gharaei et al 2017) [4]develop bi-objective mathematical modeling, the first objective is the minimization of storage costs and the second objective is the maximization of total profit of the studied chain using the LP-metric method. (B. Zeddam et al 2020) [16] propose a bi-objective approach for a vehicle routing problem of the Algerian fuel distribution company NAFTAL in Algeria, whose objectives are the minimization of CO2 emissions, and the maximization of gain.…”

Section: Resolution Approachmentioning

confidence: 99%

A bi-objective optimization approach based on Lp-metric method in broiler production network: a case study

2022

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In this work, we analyse the chicken production in a poultry network composed of a set of farms that serves a slaughterhouse in the city of Tlemcen. Each farm has a chicken house dedicated to breeding, and each chicken house has three breeding modes: manual breeding, semi-automatic breeding, and automatic breeding. And each mode consumes an appropriate energy level depending on the degree of automation used, which directly affects the quality of the chicken. The objective of this study is to determine the best energy adaptation within the farm to obtain good quality chickens. The problem of this activity is the choice of the right energy level of breeding, which consumes a minimum energy value, and gives a good quality of chickens. Knowing that the quality improves with the increase of energy, this study serves to develop mathematical modelling of two objectives: minimization of energy consumption and maximization of the chicken quality produced. The two objectives are optimized independently, and then they are joined by adapting the LP-metric method to help the breeders choose the optimal energy level to obtain good quality chickens.

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Section: Resolution Approachmentioning

confidence: 99%

A bi-objective optimization approach based on Lp-metric method in broiler production network: a case study

2022

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“…In addition to the issues mentioned, the quick solution of the problems that arise is another factor affecting customer satisfaction in the energy sector. In this framework, energy companies are required to respond quickly to customers' complaints [28,29]. Andoni et al [30] examined energy use in blockchain technologies.…”

Section: A Literature On Energy Investmentmentioning

confidence: 99%

“…In this context, the positive ( + ) and negative ( − ) values for the ideal solutions are calculated [69]. For this purpose, the equations (29) and (30) are considered. In these equations, v indicates the normalized fuzzy numbers.…”

Section: Extensions Of Mcdm Modelsmentioning

confidence: 99%

“…Therefore, the new service development competencies for energy investments are determined as seen in Table 3. [31], [34] Process management (NC 3) [28], [29] Organizational background (NC 4) [31], [37] The third phase of QFD deals with the critical parameters and process of quality improvements. Hence, the new service development process for energy investments are given in Table 4.…”

Section: A Stage 1: Defining the Mcdm Problemmentioning

confidence: 99%

“…Thus, an integrated approach to the quality improvement strategies for energy investments is proposed for measuring the criteria of quality function deployment. [26], [27], [32] Prior Action (TS 2) [30], [36], [37] Partial or Excessive Action (TS 3) [29], [37], [40] Periodic Action (TS 4) [33], [34], [35]…”

Section: A Stage 1: Defining the Mcdm Problemmentioning

confidence: 99%

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Evaluating Recognitive Balanced Scorecard-Based Quality Improvement Strategies of Energy Investments With the Integrated Hesitant 2-Tuple Interval-Valued Pythagorean Fuzzy Decision-Making Approach to QFD

et al. 2020

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This study aims to identify quality improvement strategies for energy investments. For this purpose, a model is proposed which includes 4 different stages. In the first stage, the MCDM problem is identified for evaluating the service development for energy industry. In this framework, quality function deployment (QFD) approach is taken into consideration which includes both customer expectations and technical requirements at the same time to improve the quality in the organization. The second stage is related to the calculation of the correlation coefficients of decision matrices for the criteria by considering hesitant 2-tuple interval-valued Pythagorean fuzzy sets. The third stage includes the weighting of the customer expectations with hesitant 2-tuple interval-valued Pythagorean fuzzy (HIVPF) DEMATEL. In the final stage, TRIZ-based quality improvement strategies of energy investments are ranked by using 2-tuple HIVPF TOPSIS. Thus, the motivation of this study is to figure out the weights of the criteria for quality improvement strategies in energy investments. Also, the most important contribution of this study to the literature is related to the originality in the methodology by proposing a new MCDM model while using hesitant linguistic term sets, linguistic 2-tuple information, interval-valued Pythagorean fuzzy sets properly. The findings indicate that empathy is the most significant criterion for the customer expectations in the energy investments. In addition to this issue, it is also identified that customization is the best factor among the technical requirements of energy investments. Moreover, information and communication facilities and organizational background are found as the best competencies of new service development in energy investments. Furthermore, that prior action and periodic action are the most prominent strategies for quality improvement. While considering these results, it can be said that the pricing policy of the energy companies should be fair to increase customer satisfaction. Additionally, offering flexible payment opportunities on energy bills can have a positive influence on the customer satisfaction in this process. Also, preliminary planning of the project should be done in detail in energy investments. Owing to this issue, customers' preferences can be identified before the product is placed on the market. In addition, it can be possible to identify the risks that may arise in energy investments with the help of the periodical audits.

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Solving the Production-Routing Problem with energy consideration: A case study from the furniture industry

Zeddam

Belkaid

Bennekrouf

2020

2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)

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An Efficient Approach for Solving Integrated Production and Distribution Planning Problems

Cited by 7 publications

References 23 publications

A bi-objective optimization approach based on Lp-metric method in broiler production network: a case study

A bi-objective optimization approach based on Lp-metric method in broiler production network: a case study

Evaluating Recognitive Balanced Scorecard-Based Quality Improvement Strategies of Energy Investments With the Integrated Hesitant 2-Tuple Interval-Valued Pythagorean Fuzzy Decision-Making Approach to QFD

Solving the Production-Routing Problem with energy consideration: A case study from the furniture industry

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