Academic Journal

Flexible data driven inventory management with interactive multiobjective lot size optimization

التفاصيل البيبلوغرافية
العنوان: Flexible data driven inventory management with interactive multiobjective lot size optimization
المؤلفون: Heikkinen, Risto, Sipilä, Juha, Ojalehto, Vesa, Miettinen, Kaisa
بيانات النشر: Inderscience Publishers
سنة النشر: 2023
المجموعة: JYX - Jyväskylä University Digital Archive / Jyväskylän yliopiston julkaisuarkisto
مصطلحات موضوعية: inventory management, data driven optimisation, multicriteria optimisation, interactive methods, Bayesian models, demand forecasting, lot sizing, Pareto optimality, decision support, ennustettavuus, toimitusketjut, mallit (mallintaminen), pareto-tehokkuus, myynti, bayesilainen menetelmä, päätöksenteko, varastonvalvonta, kysyntä, monimuuttujamenetelmät, optimointi, analyysi, päätöksentukijärjestelmät, varastot
الوصف: We study data-driven decision support and formalise a path from data to decision making. We focus on lot sizing in inventory management with stochastic demand and propose an interactive multi-objective optimisation approach. We forecast demand with a Bayesian model, which is based on sales data. After identifying relevant objectives relying on the demand model, we formulate an optimisation problem to determine lot sizes for multiple future time periods. Our approach combines different interactive multi-objective optimisation methods for finding the best balance among the objectives. For that, a decision maker with substance knowledge directs the solution process with one’s preference information to find the most preferred solution with acceptable trade-offs. As a proof of concept, to demonstrate the benefits of the approach, we utilise real-world data from a production company and compare the optimised lot sizes to decisions made without support. With our approach, the decision maker obtained very satisfactory solutions. ; peerReviewed
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf; 206-235; fulltext
اللغة: English
تدمد: 1742-7967
Relation: International Journal of Logistics Systems and Management; 46; 311877; Research Council of Finland; Suomen Akatemia; CONVID_117426695
الاتاحة: http://urn.fi/URN:NBN:fi:jyu-202203282066
Rights: In Copyright ; © Inderscience Publishers, 2022 ; openAccess ; http://rightsstatements.org/page/InC/1.0/?language=en
رقم الانضمام: edsbas.DD44358D
قاعدة البيانات: BASE