Considering human resource constraints for real joint production and maintenance schedules

Bouzidi-Hassini, Sabrina; Tayeb, Fatima Benbouzid-Si; Marmier, François; Rabahi, M.

doi:10.1016/j.cie.2015.08.013

Cited by 31 publications

(4 citation statements)

References 42 publications

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“…Human resource constraints [33] could affect the decision on which software development model to choose. For instance, if a particular software requires expertise in particular niche area of computing, but a company lacks personnel in that area, the project manager may be required to make a decision on how best to tackle the challenge.…”

Section: Figure 6 Determinant Factors Listingmentioning

confidence: 99%

Analytical study of software development process model variants

Eze¹,

Okunbor²

2021

Global J. Eng. Tech. Adv.

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Software Engineering is a branch of Computer Science that evolved as a result of urgent need to deal with decades of software crisis, characterized by low theoretical knowledge and practice of the construction of error-free and efficient software. The introduction of well-organized scientific, engineering and management strategies in the process of software development no doubt led to major breakthroughs, and solutions to software failures. One of the obvious game-changer in this regard is the evolution of Software Development Life Cycle, also known as Software Process Model for driving the different phases of software construction. A sound understanding of the process model is therefore inevitable, not just for software developers, but also to users and researchers. Such a theoretical cum practical understanding will enhance decisions on which process model is best for a particular job or perspective. This invariably, contributes immensely to the probability of success or failure of the project in question. Thus, the necessity for this research. This work presents an unambiguous expository of selected software development model variants. A total of four process model variants were studied, in a theoretical, visual and analytical manner. The variants were analyzed using strength versus weakness (SVW) tabular scenario. This work was concluded by presenting guides towards choice of these models. This research is expected to be a useful reference to software practitioners and researchers.

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Section: Figure 6 Determinant Factors Listingmentioning

confidence: 99%

Analytical study of software development process model variants

Eze¹,

Okunbor²

2021

Global J. Eng. Tech. Adv.

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“…Any maintenance planning strategy involves assessing human resources to identify availability and skills, which may be a limitation to planning, either because of scarcity or because of the level of training (Bouzidi-Hassini et al , 2015; Touat et al , 2017). Mather (2005), in his proposal for the maintenance scorecard adoption, argues that human performance can be oriented by the identification of the skills map that will be required to achieve the corporate goals.…”

Section: The Model Developmentmentioning

confidence: 99%

Evaluation and improvement of maintenance management performance using a maturity model

Oliveira

Lopes

2019

IJPPM

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PurposeThe purpose of this paper is to develop a new maturity model to identify the current state of maintenance area of organizations and drives actions to increase efficiency and effectiveness toward the concept known as world-class.Design/methodology/approachThe model was developed based on an extensive literature review on maintenance management and maturity assessment, which allowed identifying the relevant factors in maintenance management and the world-class behaviors for each factor. The progressive maturity levels for each of the identified ten factors form the model. To test its effectiveness, it was applied to the maintenance area of three companies.FindingsThe model application showed that, in addition to being a self-assessment tool, it provides knowledge, to those who use it, on behaviors or practices that enable world-class results. For each factor, potential gaps and the desired state were defined focusing on behaviors rather than on indicators values or adopted methodologies, which facilitates the identification of improvement actions that lead to better performance.Research limitations/implicationsThrough its use, maturity levels can be identified for all considered maintenance management factors, however, the overall maturity of the maintenance area is not determined. Although this overall evaluation can be done assigning a weight to each factor, it was not considered an added value for the set purpose.Originality/valueThe proposed maturity model contributes to the understanding of the maintenance management process and how to stand out nowadays in an area that has an increasingly important impact on productivity and quality.

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“…In the maintenance scheduling, the human resource competence had been the subject of the majority of research works done on this subject (Marmier et al (2009), Bennour and Crestani (2007)). To our knowledge, research on the integrated production and maintenance scheduling problems under human resource constraints has been introduced recently (Bouzidi-Hassini et al (2015), Touat et al (2017a), Touat et al (2017b), Touat et al (2018), Touat et al (2019)) and research works on it still very scarce.…”

Section: Introductionmentioning

confidence: 99%

Exact and Meta-heuristic Approaches for the Single-machine Scheduling Problem with Flexible Maintenance under Human Resource Constraints

Fatima¹,

Touat²,

Benhamou³

2022

IJMR

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This paper tackles the scheduling problem of both production and flexible preventive maintenance activities on a single machine under human resource constraints. The considered human resources oversee the maintenance activities. They are characterized by a competence level and a timetabling that determines their availabilities. Our objective is to minimize a common and weighted objective function that involves both the tardiness and the earliness resulting from production and maintenance activities when considering maintenance workers. We first introduce a mathematical modeling for the studied problem that we implemented in Cplex in order to compute the optimal solutions of small instances of this problem. Secondly, we propose an improved Guided Local Search (GLS) metaheuristic to deal with relatively large instances of the problem. Cplex is used as a reference exact method to check the solution quality of the approached method GLS. The proposed methods are evaluated on a large number of randomly generated instances. The experimental results show that the studied problem is very hard to solve optimally, the approached method GLS performs well and is able to find good solutions to instances up to 700 jobs in a reasonable CPU time.

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Considering human resource constraints for real joint production and maintenance schedules

Cited by 31 publications

References 42 publications

Analytical study of software development process model variants

Analytical study of software development process model variants

Evaluation and improvement of maintenance management performance using a maturity model

Exact and Meta-heuristic Approaches for the Single-machine Scheduling Problem with Flexible Maintenance under Human Resource Constraints

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