96178 - SUSTAINABLE OPERATIONS AND LOGISTICS M

Learning outcomes

Students learn the general criteria and methods aimed at designing, managing and optimizing sustainable production and distribution systems, logistics and operations. Since fostering environmental sustainabilty in production and distribution systems compels design and planning approach, students will improve their skills in developing decision-support systems (DSS) and tools for Industrial and manufacturing and distribution environments.

Course contents

Approach and Methodology

• Sustainable Operations Engineering: Decisional framework based on Problem-Entity-Methods-Decisions-Performance; Classification of Sustainable Operations and related decisional Hierarchy.
• DSS Design and Development: Collection and management of Production and Demand data; Fundamentals of Object-Oriented Programming; Excel Solver; Languages for Mathematical Programming and Optimization (AMPL).
• Holistic Planning: Modeling production and distribution systems and operations as a unique, integrated ecosystem

Topics

Planning Sustainability throughout production and distribution systems covers five dimensions and stages, which together provide the class outline:

• Raw Material Extraction and Supply: Suppliers selection, Sustainable Resource Requirement Planning, Environmental- and resilience-driven make-or-buy modeling.
• Manufacturing and Packaging: Sustainable Manufacturing System Design; Production waste minimization; MTO and MTS with environmental consideration; Sustainable Packaging design and Pallet Loading Problem.
• Distribution, Warehousing and Transportation: Capacitated facility location problem with environmental function; Network design and demand allocation; Multi-objective optimization for supply chain network design; Multi-modal transportation and GHGs emissions minimization; Supply chain network design with mitigation strategies.
• End-of-Life processes: Collection, Recycling facilities network design; Reuse strategies and flows allocation; Industrial symbiosis and byproducts valorization logistic networks.
• Consumers-driven innovation: Impact assessment, and consumer goods environmental labeling.

Readings/Bibliography

Dedicated bibliography covering the entire class programme (Slides, References, Training Code, Excel Files) will be uploaded step-by-step at the UniBo Virtuale Platform (virtuale.unibo.it). Additional readings are available upon request (but they are not mandatory).

Teaching methods

In presence.

The course is organized in frontal lectures in which the main topic are discussed and followed by numerical and practical applications. At the end of each topic, a training exercise is proposed and solved in class. Such approach underlines the applied nature of this discipline and aims at teaching the solving methodology beyond concrete problems from the industrial practice.

Lectures may include team working and case studies discussion to promote active partecipation and interactions among the attendants.

Assessment methods

The final exam consists of a team-project based on developed Decision-support systems for planning sustainable operations and production and distribution ecosystems. Selfmade teams are made of 2 students. The project requires developing tools written in Visual Basic (VBA) and AMPL aiding the design and planning of a sustainale supply chain system and addressing a case study assigned in class. Furthermore, a Report (word doc) describing the rationale of the Project, the model implemented, the input dataset, and the obtained results is mandatory. A well-shaped power point can support your discussion at the oral exam.

Part of the final score may result from the partecipation of attendants during class.

Previous computer science skills are not necessary, but problem-solving approach, proactivity and curiosity are broadly encouraged.

Backgrounds and fundamentals of Manufacturing Engineering (Requirements Planning, Inventory Management, Kan ban, Make-or-buy, BOM, Scheduling, Resource, Working Cycle, Unit Load), Logistics, Operations Research and Information Systems are recommended.

Office hours

See the website of Riccardo Accorsi