Techniques for Production Scheduling

Course Information
TitleΤεχνικές Οργάνωσης Παραγωγής / Techniques for Production Scheduling
CodeDE4
FacultyEngineering
SchoolChemical Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CommonNo
StatusActive
Course ID20000697

Programme of Study: PPS Tmīmatos CΗīmikṓn Mīchanikṓn (2019-sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course425

Class Information
Academic Year2017 – 2018
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
600102491
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
After the completion of the course the students will be able to: 1. To develop and implement advanced mathematical models for the short-term scheduling problem of batch processes 2. To develop optimisation problems of Chemical Processes using Mixed-Integer programming techniques. 3. To understand the challenges in production scheduling problems and propose solutions
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
Course Content (Syllabus)
Introduction to production systems management and optimization. Definition of objective functions and constraints. Classification of optimization problems: Linear, non-linear and mixed-integer programming problems. Mixed-Integer Linear Programming (MILP) problems: modelling with binary (0-1) variables. Transformation of logical constraints into equivalent mathematical constraints. Representative MILP problems. The product distribution problem. The problem of optimal technology selection in power generation plants. The optimization of heat exchanger networks for energy integration and energy savings. Optimal integration of renewable energies. Batch Production Processes. Introduction, challenges in the context of scheduling and planning. The State-Task-Network (STN) of production recipes in batch plants. Time representation and discretization. Constraint of the problem: Unit allocation constraint, equipment capacity constraints; storage constraints, material balance constraints, utility constraints, equipment unavailability constraints and other special type constraints. Definition of objective function. Case study: Optimal short-term scheduling of lubricants production plant. Integrated productino scheduling and design of batch plants. Modelling of equipment selection and design options. Optimal design of production and distribution networks. Model constraints, including logical constraints, capacity constraints, transportation constraints, resources constraints. Objective fuction: minimisation of total supply chain costs.
Keywords
Production Scheduling and Planning, Optimisation of Productions Processes, Design and Operation of Production Systems
Educational Material Types
  • Notes
  • Lecture notes
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Communication with Students
Description
Lecture Notes, example problems and other material is available in Blackboard.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures
Reading Assigment
Tutorial
Total
Student Assessment
Description
Not available
Student Assessment methods
  • Written Exam with Extended Answer Questions (Formative)
Bibliography
Course Bibliography (Eudoxus)
1. Επιχειρησιακή Έρευνα για τη Λήψη Διοικητικών Αποφάσεων Γ.Σ. Οικονόμου & Α.Κ. Γεωργίου Εκδόσεις Μπένου, Αθήνα 2011 ΕΥΔΟΞΟΣ: 12613531 2. Μελέτες Περιπτώσεων Επιχειρησιακής Έρευνας τόμος Α Α.Κ. Γεωργίου, Γ.Σ. Οικονόμου & Γ.Δ. Τσιότρα Εκδόσεις Μπένου, Αθήνα 2006 ΕΥΔΟΞΟΣ: 3746 ISBN: 960-8249-50-3
Additional bibliography for study
1. Σημειώσεις του Διδάσκοντα 2. Business Optimisation using mathematical programming. Josef Kallrath and John M. Wilson. Palgrave Macmillan (1997). ISBN-10: 0333676238
Last Update
21-05-2018