Production planning of new and remanufacturing products in hybrid production systems

Fang, Chih‐Chiang; Lai, Min-Hsiu; Huang, Yeu‐Shiang

doi:10.1016/j.cie.2017.04.015

Cited by 39 publications

(10 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another problem that has a huge impact in production planning is reverse logistic. Fang, Lai and Huang, 2017 [15] and Polotski, Kenne and Gharbi, 2015 [16] have faced the challenge of coordinate a production system that have new and remanufactured products. These systems are known as hybrid systems.…”

Section: Systemic Analisys and Review Discussionmentioning

confidence: 99%

“…In [16] the focus of research was address the optimal scheduling for hybrid manufacturing-remanufacturing systems with setups. In contrast, in [15] was considered capacity limitation, the durability of the recycled used product, competition between the new and used products, and the maximized total profit. As a future work is proposed incorporating the inventory of the remanufactured product to investigate the impact on the profitability.…”

Section: Systemic Analisys and Review Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Bibliometric and Systemic Analysis of Production Planning Optimization

Chagas

Modesti

Borsato

2020

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

Having good production planning is essential to companies who need to maximize the use of their resources and boost their profits. However, to formulate efficient production planning is necessary to consider many variables. That makes analytical solutions almost impossible, forcing companies to use computational methods to solve this kind of problem. Even so, because of the complexity of the problems, much computational effort is needed. In that sense, using 4.0 industry concepts, like artificial intelligence, has been helping companies formulate optimal, or near-optimal, production plans for their process in a feasible time. Since each company has different characteristics and variables, the possibilities to formulate and optimize production planning are diverse. Thus, many case studies can be carried out. Generating a huge range of research opportunities. So, this study is a survey attempting to find some of these gaps through a systemic and bibliometric analysis. To achieve this goal the methodological procedure Knowledge Development Process – Constructivist (ProKnow – C) was used. This method aims to minimize the amount of content out of alignment with the research subject. In the first search, 44,609 articles were found, and after a filtering process that prioritized scientific recognized articles and journals, only 15 articles remained. Finally, common themes among the articles and opportunities for future work were highlighted.

show abstract

Section: Systemic Analisys and Review Discussionmentioning

confidence: 99%

Section: Systemic Analisys and Review Discussionmentioning

confidence: 99%

Bibliometric and Systemic Analysis of Production Planning Optimization

Chagas

Modesti

Borsato

2020

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

show abstract

“…In hybrid production systems, the manufacturing of new and remanufactured products is integrated. In hybrid production systems, special constraints caused by uncertainties in recycling processes must be taken into consideration [31][32][33].…”

Section: Content Analysismentioning

confidence: 99%

Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production

et al. 2019

View full text Add to dashboard Cite

In the context of Industry 4.0, the matrix production concept represents revolutionary solutions from a technological and logistics point of view. In a matrix production system, flexible, configurable production and assembly cells are arranged in a grid layout, and the in-plant supply is based on autonomous vehicles. Adaptable and flexible material handling solutions are required to perform the dynamically changing supply-demands of standardized and categorized manufacturing and assembly cells. Within the frame of this paper, the authors describe the in-plant supply process of matrix production and the optimization potential in these processes. After a systematic literature review, this paper introduces the structure of matrix production as a cyber-physical system focusing on logistics aspects. A mathematical model of this in-plant supply process is described including extended and real-time optimization from routing, assignment, and scheduling points of view. The optimization problem described in the model is an NP-hard problem. There are no known efficient analytical methods to find the best solution for this kind of problem; therefore, we use heuristics to find a suitable solution for the above-described problem. Next, a sequential black hole–floral pollination heuristic algorithm is described. The scenario analysis, which focuses on the clustering and routing aspects of supply demands in a matrix production system, validates the model and evaluates its performance to increase cost-efficiency and warrants environmental awareness of the in-plant supply in matrix production.

show abstract

“…In the current competitive market scenario, it is highly essential to emphasize several objectives simultaneously 1 . Most of the literature works deal with maximizing profit, 2 minimizing production cost and distribution cost, 3 minimizing delivery time, 4 utilities 5 and so forth. Carbon emission and energy consumption are two important factors that need to be addressed for achieving sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective optimization for sustainable production planning

Kumawat

Sinha

Chaturvedi

2021

Env Prog and Sustain Energy

View full text Add to dashboard Cite

Sustainable production planning can be achieved by including several key factors along with production which affect the environment and economy. Carbon emission and energy consumption are essential factors that need to be reduced for achieving sustainable development. In this article, a methodology is proposed for production planning via several process options using available flexibility in the crisp model formulation. A fuzzy multi‐objective model is formulated for satisfying imprecise goals with a view of minimizing carbon emission and energy consumption in industries. This article addresses the decision making in order to develop a better compromise solution for production planning. For practical planning problems, linear and non‐linear membership functions are used to characterize fuzziness. For nonlinear case, two approaches are proposed with multi‐criteria programming models to deal with empirical data points that is, quadratic approximation and piecewise linear approximation. Three examples are illustrated to show the applicability and purpose of the presented methodologies.

show abstract

Production planning of new and remanufacturing products in hybrid production systems

Cited by 39 publications

References 38 publications

Bibliometric and Systemic Analysis of Production Planning Optimization

Bibliometric and Systemic Analysis of Production Planning Optimization

Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production

Multi‐objective optimization for sustainable production planning

Contact Info

Product

Resources

About