Multi-objective Aggregate Production Planning for Multiple Products: A Local Search-Based Genetic Algorithm Optimization Approach

Liu, Lanfen; Yang, Xinfeng

doi:10.1007/s44196-021-00012-1

Cited by 11 publications

(12 citation statements)

References 39 publications

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“…Furthermore, the personnel adjustments are always accounted for monetarily within the objective function by costs for hiring/firing. Only [57,62,63] additionally include personnel adjustments as a social variable within a multi-objective function, simultaneous to economic variables. For this, the sum of fired employees [63], the sum of fired and hired employees [62], and the difference between hired and fired employees [57] are minimized.…”

Section: Social and Economicmentioning

confidence: 99%

“…Only [57,62,63] additionally include personnel adjustments as a social variable within a multi-objective function, simultaneous to economic variables. For this, the sum of fired employees [63], the sum of fired and hired employees [62], and the difference between hired and fired employees [57] are minimized. Thus, different aims could be observed: reducing total layoffs [63], reducing total adjustments [62], or reducing absolute changes of the number of employees [57].…”

Section: Social and Economicmentioning

confidence: 99%

“…However, within the identified approaches, the DM is not further supported regarding a suitable specification of these parameters and weights. For approaches using an a posteriori method, first, (Pareto) efficient frontiers are identified [62,63,70,[72][73][74][75][76]78,85,97]. Accordingly, a suitable solution can be selected from the set of identified (non-)dominated points to meet the DM's preferences.…”

Section: Rq 1: How Are Employee-related Social Aspects Implemented An...mentioning

confidence: 99%

“…The area of development (affecting productivity [56][57][58], affecting quality [59,60], meet skill requirements [61]) and employment (personnel adjustments [56][57][58][59]62,63], gender equity [63]) are usually addressed at the APP level. A reason for this concentration of the APP might be that, due to training measures and personnel adjustments, the available capacities are affected, which have to be harmonized with the production program.…”

Section: Rq 2: Howmentioning

confidence: 99%

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Social Sustainability in Production Planning: A Systematic Literature Review

2022

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Sustainable production includes economic, environmental, and social aspects. However, social sustainability has received less attention, especially compared to the economic aspects. Next to technical and organizational measures, social improvements within supply chains can also be achieved through suitable production planning. Within production planning, production programs are determined, and the assignment of available resources (e.g., employees) is specified. Thus, the utilization and workload of employees are defined. This systematic literature review investigates to what extent such employee-related social aspects are reflected in production planning and discusses whether economic aspects dominate them. For this, a Scopus database search was carried out and 76 identified approaches were analyzed and categorized regarding the occurring employee-related social aspects and their implementation. Thus far, the approaches mainly consider single aspects on single planning levels. A consideration of a broad set of aspects along the entire production planning has rarely been studied. In particular, health and safety aspects are considered on the levels of assembly line balancing and job rotation. However, their impact is primarily determined by the specific settings of the decision-maker. To support decision-makers, only a few studies have investigated the effects based on real application scenarios. Further potential might be an extended modeling of social and economic interdependencies and a consideration of employee-related social aspects in medium- to long-term production planning.

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Section: Social and Economicmentioning

confidence: 99%

Section: Social and Economicmentioning

confidence: 99%

Section: Rq 1: How Are Employee-related Social Aspects Implemented An...mentioning

confidence: 99%

Section: Rq 2: Howmentioning

confidence: 99%

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Social Sustainability in Production Planning: A Systematic Literature Review

2022

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“…In the present study, the GA component of the algorithm enables the exploration of a large portion of the search space; the local search Drone assisted sample collection provides an opportunity for exploitation of different neighbourhoods in the search space. This kind of is very popular in the literature to solve many various optimization problems such as routing, location and scheduling (D'Angelo and Palmieri, 2021;Liu and Yang, 2021;Rezaeipanah et al, 2021).…”

Section: Solution Approachmentioning

confidence: 99%

Designing a drone assisted sample collection and testing system during epidemic outbreaks

Chakraborty

Nadar

Tiwari

2021

JGOSS

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Purpose A major component in managing pandemic outbreaks involves testing the suspected individuals and isolating them to avoid transmission in the community. This requires setting up testing centres for diagnosis of the infected individuals, which usually involves movement of either patient from their residence to the testing centre or personnel visiting the patient, thus aggregating the risk of transmission to localities and testing centres. The purpose of this paper is to investigate and minimize such movements by developing a drone assisted sample collection and diagnostic system. Design/methodology/approach Effective control of an epidemic outbreak calls for a rapid response and involves testing suspected individuals and isolating them to avoid transmission in the community. This paper presents the problem in a two-phase manner by locating sample collection centres while assigning neighbourhoods to these collection centres and thereafter, assigning collection centres to nearest testing centres. To solve the mathematical model, this study develops a mixed-integer linear programming model and propose an integrated genetic algorithm with a local search-based approach (GA-LS) to solve the problem. Findings Proposed approach is demonstrated as a case problem in an Indian urban city named Kolkata. Computational results show that the integrated GA-LS approach is capable of producing good quality solutions within a short span of time, which aids to the practicality in the circumstance of a pandemic. Social implications The COVID-19 pandemic has shown that the large-scale outbreak of a transmissible disease may require a restriction of movement to take control of the exponential transmission. This paper proposes a system for the location of clinical sample collection centres in such a way that drones can be used for the transportation of samples from the neighbourhood to the testing centres. Originality/value Epidemic outbreaks have been a reason behind a major number of deaths across the world. The present study addresses the critical issue of identifying locations of temporary sample collection centres for drone assisted testing in major cities, which is by its nature unique and has not been considered by any other previous literature. The findings of this study will be of particular interest to the policy-makers to build a more robust epidemic resistance.

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