ALMM Solver - Idea of Algorithm Module

Kucharska, Edyta; Rączka, Krzysztof

doi:10.1007/978-3-319-99987-6_36

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…An idea of solver using the ALMM methodology has been developed. However, work related to its implementation is still under in progress [45][46][47][48].…”

Section: Discussionmentioning

confidence: 99%

Dynamic Vehicle Routing Problem—Predictive and Unexpected Customer Availability

Kucharska

2019

Symmetry

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The Dynamic Vehicle Routing Problem (DVRP) is one of the most important problems in the area of enterprise logistics. DVRP problems involve these dynamics: the appearance of customers, travel times, service times, or vehicle availability. One of the most often considered aspects of the DVRP is the availability of customers, in which a part or all of the customers are revealed dynamically during the design or execution of the routes. A classification of the DVRP problem due to various elements causing dynamism is proposed. The aim of the paper is to distinguish dynamic VRP, which takes into account the dynamic appearance of customers to serve during the design or execution of the routes. In particular, the difference between the predictive and unexpected aspects of the customer’s availability is considered. Above all, the variant of customer’s availability which is predicted according to an appropriate general rule is modeled using the algebraic-logical meta-model (ALMM). It is a methodology which enables making collective decisions in successive process stages, not separately for individual vehicles. The algebraic-logical model of the dynamic vehicle routing problem with predicted consumer availability is proposed. The paper shows the possibilities of applying the ALMM approach to dynamic problems both with predicted and unexpected customer availability.

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“…An idea of solver using the ALMM methodology has been developed. However, work related to its implementation is still under in progress [45][46][47][48].…”

Section: Discussionmentioning

confidence: 99%

Dynamic Vehicle Routing Problem—Predictive and Unexpected Customer Availability

Kucharska

2019

Symmetry

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Formal scheduling method for zero-defect manufacturing

Grobler-Dębska

Kucharska

Baranowski

2021

Int J Adv Manuf Technol

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A defect prevention is a part of manufacturing company practice. Paper proposes a formal approach for solving scheduling problems with unexpected events as extension of general frameworks for Zero-Defect Manufacturing (ZDM) strategy. ZDM aims to improve the process efficiency and the product quality while eliminating defects and minimizing process errors. However, most of ZDM applications focus on using the technological achievements of Industry 4.0 to detect and predict defects, forgetting to optimize the schedule on the production line. We propose formal method to create predictive-reactive schedule for problems with defect detection and repair. Our proposal is based on the formal Algebraic-Logical Meta-Model (ALMM). In particular, it uses the model switching method and combines defect detection, heuristics construction and decision support containing predictions of disturbances in the production process and enabling their prevention. Production defects are detected and repaired, and consequently, production delivers components without defects, and in the shortest possible time. Moreover, the collection and analysis of data related to the occurrence of disturbances in the production process helps the management board in making decisions based on analysis gathered and stored data. Thus, the proposed method includes strategies such as detection, repair, prediction and prevention for defect-free production. We illustrate the proposed method on the example of a flow-shop system with different types of product defect problem.

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ALMM Solver - Idea of Algorithm Module

Cited by 2 publications

References 19 publications

Dynamic Vehicle Routing Problem—Predictive and Unexpected Customer Availability

Dynamic Vehicle Routing Problem—Predictive and Unexpected Customer Availability

Formal scheduling method for zero-defect manufacturing

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