A Hybrid Approach to Sustainable Supply Chain Optimization

Sitek, Paweł

doi:10.1007/978-3-319-15796-2_25

Cited by 2 publications

(5 citation statements)

References 19 publications

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“…presented in the form of interconnected CSPs. Such a method of modeling constraints essentially distinguishes the presented model from those published previously Sitek and Wikarek [21]; Sitek [19] where all constraints and objectives were modeled globally at the same time. The set of constraints that bind the layers (the number and capacity of transport means, environmental constraints, etc.)…”

Section: Illustrative Examplementioning

confidence: 99%

“…This is another feature that differentiated SSCM problem formalization from other models already presented in Sitek and Wikarek [21], Sitek [19]. The remaining constraints also have different forms.…”

Section: Illustrative Examplementioning

confidence: 99%

“…Integration and hybridization of CLP and MP environments was also a subject of research conducted by the authors of this paper Sitek and Wikarek [20]; Sitek et al [23]; Sitek and Wikarek [19]; Sitek and Wikarek [22]. Elimination and replacement of the variable distribution mechanism but retaining the mechanism of constraint propagation has become the key research direction.…”

Section: Constraint-driven Programming Mathematical Programming and mentioning

confidence: 99%

“…4), we used the problem of sustainable supply chain management (SSCM) Brandenburg and Rebs [6], with the formal model proposed in Sitek and Wikarek [19]. The problem, studied before, was chosen to compare the effectiveness of the proposed multi-layer approach with other solutions, in particular with our previous results Sitek and Wikarek [19], Sitek [19]. It is the combinatorial optimization problem which consists of the layers corresponding to production, distribution, recycling and retail.…”

Section: Illustrative Examplementioning

confidence: 99%

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A multi-level approach to ubiquitous modeling and solving constraints in combinatorial optimization problems in production and distribution

Sitek

Wikarek

2017

Appl Intell

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Constraints, although ubiquitous in production and distribution planning, scheduling and control, often lead to inconsistencies in the decision-making process. The constraint-based modeling helps circumvent many organizationimpacting issues. To address this, we developed a multi-level approach to the modeling and solving of combinatorial optimization problems. It is versatile and effective owing to the use of multi-level presolving and multiple paradigms, such as constraint programming, logic programming, mathematical programming and fuzzy logic, for their complementary strengths. The capability of this framework and its advantage over mathematical programming alone or over hybrid frameworks is shown in the illustrative example, in which combinatorial optimization is used as a benchmark to prove the effectiveness of the proposed approach. Knowledge of the problem is stored in the form of facts.

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Section: Illustrative Examplementioning

confidence: 99%

Section: Illustrative Examplementioning

confidence: 99%

Section: Constraint-driven Programming Mathematical Programming and mentioning

confidence: 99%

Section: Illustrative Examplementioning

confidence: 99%

See 2 more Smart Citations

A multi-level approach to ubiquitous modeling and solving constraints in combinatorial optimization problems in production and distribution

Sitek

Wikarek

2017

Appl Intell

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“…Therefore, the proposed declarative programming framework includes a hybrid method which uses both environments, CLP and MP, to¯nd the solution. [4][5][6][7] This method is enriched with the transformation technique developed by the authors [8][9][10][11] and used in the proposed framework as a pre-solving method. This paper is a signi¯cant extension of a conference paper 12 which presents the ideas of such a framework.…”

Section: Introductionmentioning

confidence: 99%

A Constraint-Based Declarative Programming Framework for Scheduling and Resource Allocation Problems

Wikarek

Sitek

2019

Vietnam J. Comp. Sci.

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Scheduling and resource allocation problems are widespread in many areas of today’s technology and management. Their different forms and structures appear in production, logistics, software engineering, computer networks, project and human resources management, services, etc. The literature (problem classification, scheduling and resource allocation models, solutions) is vast and exhaustive. In practice, however, classical scheduling problems with fixed structures and standard constraints (precedence, disjoint, etc.) are rare. Practical scheduling problems include also logical and nonlinear constraints, and they use nonstandard criteria of schedule evaluations. Indeed, in many cases, decision makers are interested in the feasibility and/or optimality of a given schedule for specified conditions formulated as general and/or specific questions. Thus, there is a need to develop a programming framework that will facilitate the modeling and solving of a variety of diverse scheduling problems. The framework should be able to (a) model any types of constraints, (b) ask questions/criteria relating to the schedule execution mode and (c) be highly effective in finding solutions (schedule development). This paper proposes such a constraint-based declarative programming framework for modeling and solving scheduling problems which satisfies the assumptions above. It was built with the Constraint Logic Programming (CLP) environment and supported with Mathematical Programming (MP). The functionality and effectiveness of this framework are presented with the use of an illustrative example for the resource-constrained scheduling problem with additional resources.

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A Hybrid Approach to Sustainable Supply Chain Optimization

Cited by 2 publications

References 19 publications

A multi-level approach to ubiquitous modeling and solving constraints in combinatorial optimization problems in production and distribution

A multi-level approach to ubiquitous modeling and solving constraints in combinatorial optimization problems in production and distribution

A Constraint-Based Declarative Programming Framework for Scheduling and Resource Allocation Problems

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