Suchergebnisse - Scheduling MRP Advanced planning and scheduling Mixed integer programming~

A mixed integer programming model for advanced planning and scheduling (APS)

Autoren: Chen, Kejia Ji, Ping

Quelle: European Journal of Operational Research. Aug2007, Vol. 181 Issue 1, p515-522. 8p.

Schlagwörter: *INTEGER programming, *ADVANCED planning & scheduling, *SYSTEM integration, *PRODUCTION planning

Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources

Autoren: Jarosław Wikarek Paweł Sitek

Quelle: Applied Sciences, Vol 15, Iss 15, p 8522 (2025)

Schlagwörter: MRP-driven production, proactive routing and scheduling, resource constraints, mathematical programming, optimization, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/15/8522; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/dfc28680679d4ba1bf35e04a540464e1

A note on “A mixed integer programming model for advanced planning and scheduling (APS)”

Autoren: Örnek, Arslan Özpeynirci, Selin Öztürk, Cemalettin

Quelle: European Journal of Operational Research. Jun2010, Vol. 203 Issue 3, p784-785. 2p.

Schlagwörter: *ADVANCED planning & scheduling, *INTEGER programming, *OPERATIONS research, *THEORY of constraints, *INDUSTRIAL capacity, *MANUFACTURING processes, *PROBLEM solving, *MATHEMATICAL models

Operational extended model formulations for Advanced Planning and Scheduling systems.

Autoren: Öztürk, Cemalettin Ornek, Arslan M.

Quelle: Applied Mathematical Modelling. Jan2014, Vol. 38 Issue 1, p181-195. 15p.

Schlagwörter: *PRODUCTION scheduling, *MANUFACTURING resource planning, *INTEGER programming, *MATHEMATICAL models, *CONSUMERS, *FUTURES studies

Production planning of mixed-model assembly lines: a heuristic mixed integer programming based approach.

Autoren: Tonelli, F. Paolucci, M. Anghinolfi, D. et al.

Quelle: Production Planning & Control; Jan2013, Vol. 24 Issue 1, p110-127, 18p, 4 Diagrams, 4 Charts, 3 Graphs

Schlagwörter: FLEXIBLE manufacturing systems, INTEGER programming, ASSEMBLY line methods, PRODUCTION planning, PRODUCTION scheduling, PRODUCTION management (Manufacturing)

Realizing block planning concepts in make-and-pack production using MILP modelling and SAP APO ©.

Autoren: Günther, H.-O. Grunow, M. Neuhaus, U.

Quelle: International Journal of Production Research; 9/15/2006, Vol. 44 Issue 18/19, p3711-3726, 15p, 5 Diagrams, 2 Charts

Schlagwörter: PRODUCTION planning, PRODUCTION scheduling, BUSINESS planning, PRODUCTION management (Manufacturing), INDUSTRIAL applications, INDUSTRIAL management, ADVANCED planning & scheduling

A Constraint Programming Method for Advanced Planning and Scheduling System with Multilevel Structured Products.

Autoren: Yunfang Peng Dandan Lu Yarong Chen

Quelle: Discrete Dynamics in Nature & Society; 2014, p1-7, 7p

Schlagwörter: PLANNING literature, PLANNING, INFORMATION storage & retrieval systems -- Planning, EMERGENCY management, INTERVAL measurement

A two-stage sequential planning scheme for integrated operations planning and scheduling system using MILP: the case of an engine assembler.

Autoren: Garcia-Sabater, Jose Maheut, Julien Garcia-Sabater, Julio

Quelle: Flexible Services & Manufacturing Journal; Jun2012, Vol. 24 Issue 2, p171-209, 39p, 2 Diagrams, 17 Charts, 3 Graphs

Schlagwörter: AUTOMOBILE industry management, AUTOMOTIVE suppliers, ADVANCED planning & scheduling, AUTOMOBILE engines, STAKEHOLDERS, PSYCHOLOGY

Scheduling in Supply Chains Using Mixed Integer Programming

Autoren: Tadeusz Sawik

Resource Type: eBook.

Schlagworte: Business logistics--Data processing, Assembly-line methods--Data processing, Integer programming, Production scheduling--Data processing

Categories: TECHNOLOGY & ENGINEERING / Industrial Engineering

A note on 'A mixed integer programming model for advanced planning and scheduling (APS)'

Autoren: Örnek, Arslan Özpeynirci, Selin Öztürk, Cemalettin

Relation: http://www.sciencedirect.com/science/article/pii/S0377-2217(09)00640-7

Verfügbarkeit: http://www.sciencedirect.com/science/article/pii/S0377-2217(09)00640-7

A multi-objective optimisation approach for order management: incorporating activity-based costing in supply chains.

Autoren: Khataie, Amirhossein Defersha, Fantahun M. Bulgak, Akif Asil

Quelle: International Journal of Production Research; Sep2010, Vol. 48 Issue 17, p5007-5020, 14p, 2 Diagrams, 5 Charts

Schlagwörter: SUPPLY chains, SUPPLY & demand, SUPPLY chain management, PHYSICAL distribution of goods, ADVANCED planning & optimization, INDUSTRIAL procurement

Adaptive genetic algorithm for advanced planning in manufacturing supply chain.

Quelle: Journal of Intelligent Manufacturing; Aug2006, Vol. 17 Issue 4, p509-522, 14p

Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources.

Autoren: Wikarek, Jarosław Sitek, Paweł

Quelle: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8522, 19p

Schlagwörter: MATERIAL requirements planning, MIXED integer linear programming, MATHEMATICAL optimization, ROUTING algorithms, PROCESS optimization, SCHEDULING, COST control, RESOURCE management

An integration of algal biofuel production planning, scheduling, and order‐based inventory distribution control systems.

Autoren: Nugroho, Yohanes K. Zhu, Liandong

Quelle: Biofuels, Bioproducts & Biorefining; Jul/Aug2019, Vol. 13 Issue 4, p920-935, 16p

Schlagwörter: INVENTORY control, PRODUCTION planning, PRODUCTION scheduling, NONLINEAR programming, MANUFACTURING processes

Firma/Körperschaft: SOCIETY of Chemical Industry (Great Britain), JOHN Wiley & Sons Inc.

New Hybrid Method for Buffer Positioning and Production Control Using DDMRP Logic in Smart Manufacturing.

Autoren: Habbadi, Sahar El Mouayni, Ismail Herrou, Brahim et al.

Quelle: Journal of Manufacturing & Materials Processing; Jul2025, Vol. 9 Issue 7, p219, 20p

Schlagwörter: BUFFER inventories, MIXED integer linear programming, PRODUCTION control, AGILE manufacturing systems, PRODUCTION scheduling, GENETIC algorithms, INVENTORY control, DEMAND forecasting

Joint multi-objective master production scheduling and rolling horizon policy analysis in make-to-order supply chains.

Autoren: Nedaei, H. Mahlooji, H.

Quelle: International Journal of Production Research; May2014, Vol. 52 Issue 9, p2767-2787, 21p, 4 Charts, 10 Graphs

Schlagwörter: PRODUCTION scheduling, MAKE-to-order (Manufacturing), EXPERIMENTAL design, SUPPLY chain management, SIMULATION methods & models, INTEGER programming, ECONOMIC lot size, PRODUCTION planning, SETUP costs, PARETO optimum

Advanced planning and scheduling technology.

Autoren: Steger-Jensen, Kenn Hvolby, Hans-Henrik Nielsen, Peter et al.

Quelle: Production Planning & Control; Dec2011, Vol. 22 Issue 8, p800-808, 9p, 2 Diagrams, 1 Chart

Schlagwörter: ADVANCED planning & scheduling, LINEAR programming, CAPITAL budget, CONSTRAINT programming, INDUSTRIAL efficiency, MATERIAL requirements planning, BOTTLENECKS (Manufacturing), MANAGEMENT

Production scheduling with outsourcing scenarios: a mixed integer programming and efficient solution procedure.

Autoren: Mokhtari, Hadi Abadi, Isa NakhaiKamal Amin-Naseri, M.Reza

Quelle: International Journal of Production Research; Oct2012, Vol. 50 Issue 19, p5372-5395, 24p, 4 Color Photographs, 2 Black and White Photographs, 10 Charts, 8 Graphs

Schlagwörter: MATHEMATICAL models, PRODUCTION scheduling, THIRD-party logistics, INTEGER programming, IN-house services (Business), PRODUCTION control, OPERATIONS research, MANAGEMENT

Multi-objective mixed integer programming and an application in a pharmaceutical supply chain.

Autoren: Singh, Sujeet Kumar Goh, Mark

Quelle: International Journal of Production Research; Feb2019, Vol. 57 Issue 4, p1214-1237, 24p, 6 Charts, 4 Graphs

Schlagwörter: FUZZY numbers, DECISION making, INTUITIONISTIC mathematics, MIXED integer linear programming, SUPPLY chain management, MONOTONE operators

A comparison of mixed integer programming formulations of the capacitated lot-sizing problem.

Autoren: Karagul, Hakan F. Warsing, Donald P. Hodgson, Thom J. et al.

Quelle: International Journal of Production Research; Dec2018, Vol. 56 Issue 23, p7064-7084, 21p, 6 Diagrams, 14 Charts, 4 Graphs

Schlagwörter: MIXED integer linear programming, PRINTING industry, PRODUCTION management (Manufacturing), MATHEMATICAL bounds, HEURISTIC, STANDARD deviations