Modules

First year

M1.1 - Basics of LSCM

The basic objective of this subject is to provide a practical introduction to the field of Logistics & Supply Chain Management (LSCM):

  • Terminology and concepts
  • Logistics and SCM goals
  • The framework for logistics and SCM services and their impact: economic, legal, ecological, cultural
  • The global market for logistics and SCM services
  • Actors / players: typology of providers and users
  • Functional areas: procurement, production, distribution, reverse logistics, etc.
  • Operational areas: warehouse operations, inventory management, order picking, transport operations, internal material flows
  • Cases: SC design, SC risk/disruption, SC redesign etc.
  • Exercises: games (manual and/or computer-based), e.g. Beer game.

M1.2 - System Thinking

The main objective of this subject is to introduce a causal approach to develop efficient transparent models enhancing simulation tools with the capability to explore uncertainties, trend breaks, and discontinuities; and extend their potential to foster deliberation; and their relevance to decision makers. For this purpose, students will be trained with the use of Coloured Petri Net formalism to represent the cause-effect relationships that underlies in most SC systems, and the analysis of the state space for a better understanding of the so called emergent dynamics.

The set of sub-objectives of this subject are:

  • Introduce a holistic analysis approach, as opposed to reductionist, as a set of diverse interacting agents within an environment.
  • Recognize that the relationships or interactions between elements are more important than the elements themselves in determining the behaviour of the system.
  • Recognize a hierarchy of levels of systems and the consequent ideas of properties emerging at strategic, tactic and operational levels, and mutual causality both within and between levels.
  • Recognize a hierarchy of levels of systems and the consequent ideas of properties emerging at strategic, tactic and operational levels, and mutual causality both within and between levels.
  • Introduce influence variables for a better understanding of human behaviour in a supply chain system.

M1.3 - Decision Making

The main objective of this subject is to introduce quantitative methods and techniques aimed to help the planning activities and, therefore, to support the decision making process. These methods are based in the use of formal models and their corresponding solving techniques. The student will learn how to model the system and its decision making process and then how to apply the methods and techniques to select the optimal solutions. Basic case studies representing typical problems (e.g. planning, scheduling, distribution or routing) are used in the learning process.

M1.4 - Project Management

The objective of the Project Management course is to introduce students to the knowledge, processes, skills, tools and techniques suitable for project management, such that the application of them to satisfy the requirements specified for project development, and may have a significant impact on its success. Specifically:

  • Know the terminology and basic concepts of project management area.
  • Understanding the relationship between logistics and supply chain management and project management.

M1.7 - Information Technology

  • Basics of Management Information Systems: introduction to IT, information systems in the enterprise, electronic business and electronic commerce, MIS hardware and software, managing data resources, electronic data interchange, data coding and classification, databases and data warehouses, basics of database management systems, etc.
  • The role of IT in LSCM.
  • Major subsystems and internal operation of Logistic Information Systems (LIS)
  • Basic information technologies in logistics: tracking & tracing (GPS, Galileo, etc.), identification (barcoding, RFID), communication (wireless, mobile, networking, EDI, etc.).
  • IT systems/applications (Warehouse Management Systems, Inventory Management Systems,Transportation Management System, Enterprise Resource Planning, Production Planning and Control, Supply Chain Planning, Supply Chain Event Management, Customer Relationship Management, etc.).
  • Cases in LIS application

M1.8 - Material Handling and Transportation Technologies (MHT)

  • Basic components of MHT (drives/engines, breaks, ropes and chains, couplings, weight/force carrying structures, load carrying devices)
  • Packaging systems (impact of good characteristics on handling, packs/pallets/containers, packaging methods and technologies, load protection)
  • Material handling systems (conveyors, cranes, trucks/vehicles, design constraints, automation, performance, maintenance, examples)
  • Warehousing/storing systems and container yards (indoor/outdoor, racks, operating systems, design constraints, automation, performance, maintenance, examples)
  • Order picking systems, sorters (functionality, components, design constraints, automation, performance, maintenance, examples)
  • Transhipment equipment (loading/unloading devices, dock levellers, loading platforms, functionality, components, design constraints, automation, maintenance, examples)
  • Transportation systems (functionality, components, design constraints, performance)
  • Cases (e.g. distribution systems)

M1.9 - Supply Chain Network & Flow Management

Global markets and supply chains

  • Customer and product requirements
  • Types of supply chains (push vs. pull, efficient vs. responsive)
  • Roles in the supply chain (suppliers, OEMs, LSPs)
  • Dynamic effects (Bullwhip)
  • Safety and security issues
  • Environmental issues
  • Product lifecycle management

Supply chain planning and configuration

  • Strategic/tactical/operational perspective
  • Flows (material/information/financial)
  • Customer order decoupling point / information decoupling point
  • Functional areas
  • Strategies: time-Based, asset-productivity, technology-based, relationship-based
  • Logistics networks / supply chain collaboration

Supply chain modeling and performance measurement

  • Methods and tools
  • Reference models (incl. SCOR)
  • Measurement and metrics; supply chain benchmarking

Concepts and best practices

  • Lean vs agile supply chains
  • Mass customization
  • Replenishment concepts (JIT/ECR/CPFR)
  • Make-or-buy decisions / outsourcing
  • Last mile concepts

M1.10 - Generic Management Skills

Human resources

  • Human resources management principles and practices
  • Organization theory

Quality and environmental management

  • Quality management principles, practices and standards
  • Environmental management principles, practices and standards

M1.11 - LSCM European Dimension

  • Major LSCM European players (e.g., Schenker)
  • Major LSCM European professional organizations (e.g., ELA)
  • Local situation in LSCM (at both host country/region and countries/regions of invited lecturers)
  • Visits to local logistics companies (logistics solutions, problems, challenges, technologies)

Transport Logistics at Barcelona (Spain)

UAB.1 - Decision Making In Transport Systems

  • Investments evaluation:
    • Efficiency versus equity in the investments in transport infrastructures.
    • The efficiency as indicator to prioritize the inversions.
    • Economic and financial analysis tools.
    • Negative and positive externality of the transport system.
  • Demand transport forecast models.
  • Social profitability through the cost-benefit analysis
  • Main type of transport models:
    • Aggregate models. Time-series and direct demand models
    • Disaggregate models: discrete choice models

    UAB.2 - Economy & Legislation Of Transport Systems

    • International freight transport: flow of goods; international air freight
    • European transport policy
    • Analysis of costs and efficiency in the transport sector
    • Pricing transport services
    • Regulation in the transport sector
    • Environment and sustainability
    • Law

    UAB.3 - Modeling & Optimization Of Transport Systems

    • Introduction to routing problems.
    • Freight Transport Modeling and Forecasting.
    • Classification of vehicle routing problems according to the demand: node versus arc approaches.
    • The vehicle routing problem with time (time window) and capacity constrains.
    • Vehicle routing problem applications: Urban logistics, Good Distribution, Other Applications.
    • DES models of harbour containers : intermodal transport.
    • DES models of cargo airport: intermodal transport.

    UAB.4 - Basics of Transport Infrastructures & Services

    • Importance of the Transport Sector: Transport functionality. Mobility. Main axis and demand centers. Network of transport insfrastructures (road, train, airports and harbour): main
      characteristics, evolution and costs. Intermodality in the merchandise mobility.
    • Description and Potentialities.
    • Harbours as intermodal nodes. Description and operative of the bulk terminals, container terminals and multipurpose terminals. Connection port-railway and port-road. Dry ports. Analysis of experiences.
    • Train cargo terminals. Description. Operative. European and Spanish experiences.
    • Air cargo terminals: Description. Operative. European and Spanish experiences.

    UAB.5 - Transport Systems Management

    • Introduction: Analysis of the different elements of passenger and good transport systems.
    • Analysis of offer-demand relationship, capacity and service levels. Congestion.
    • Resource Assignments, costs and operations.
    • Planning and scheduling tools.
    • Management and regulations aspects:
      • Road management infrastructures
      • Train management infrastructures
      • Airport management infrastructures
      • Port management infrastructures

Logistics Information Systems at Riga (Latvia)

RTU.1 - Logistic Information Systems

  1. Logistic information systems (9 ECTS)
  • Theoretical part:
    • Architecture of Logistic Information Systems
    • Logistic System data processing, identification, tracking and tracing
    • Major subsystems Logistic Information Systems, it’s functionality, architecture and principles
    • Reliability of Logistic Information Systems: standards, mechanisms of reliability management
  • Practical part:
    • Analysis of freight transportation system, using tracking software: RFID, GPS, GIS
    • Simulation-based analysis of inventory management policies (Beer Game)
  • Electronic commerce in logistics (4.5 ECTS)
    • E-commerce in logistics: tools, electronic marketing and business
    • Cases in IT application of e-commerce
  • Systems analysis (3 ECTS)
    • Systems view: systems approaches, systems thinking, systems analysis
    • Cybernetics approach to management

    RTU.2 - Logistics Management

    1. Logistics Management Synthesis (7.5 ECTS)
    • Business simulation games: synthesis, integration, trade-offs
    • Quantitative models
    • Management Information Systems (MIS) to support decision making in LSCM.
  • and 3. Courses from the RTU list of elective courses (3 ECTS each)
    • Macroeconomics: Gross national product (GNP).Cycles in national economy. Money, banks, inflation. Employment, unemployment. National budget. Fiscal and monetary policy of the state. Keynesian theory and monetarism. International economic relations.
    • Taxes and Duties: Evaluation of production and financial resources of an enterprise, long-term financial assets, methods of valuation of current assets, accounting in production, annual report.
    • Quantitative Methods for Economics: Economic and mathematical methods and models and decision making process. Forecasting methods by using time series. Models for examining economic relationships. Models of linear programming. Simulation.
    • Personnel Management: Management as specific scope of actions. Principles of team formation. Psychological foundations of employee selection. Manager as leader and authority. Work motivation, motivating skills.

    Logistics Systems Engineering & Implementation at Berlin (Germany)

    UASW.1 - Material handling system design and analysis

    • Specification of material handling system requirements
    • Tendering procedure
    • Preparation of offers
    • Tender processing
    • Material handling system design, planning, analysis, simulation and optimization:
      • selection of appropriate components
      • system performance calculation
      • simulation-based functional and performance evaluation
      • SWOT analysis

      UASW.2 - Transport system design and analysis

      • Specification of transport system requirements
      • Tendering procedure
      • Preparation of offers
      • Tender processing
      • Transport system design, planning, analysis, simulation and optimization:
        • selection of appropriate modes
        • principles
        • components
        • system performance calculation
        • simulation-based functional and performance evaluation
        • SWOT analysis

      UASW.3 - Logistics management and control system specification and evaluation

      • Typical logistics management and control systems
      • Specification of LMCS requirements
      • Methods, tools and standards to formalize LMCS requirements
      • Tendering procedure
      • Tender processing
      • LMCS testing, using, maintenance/updating:
        • development of suitable test routines and evaluation procedures
        • system performance measuring
        • SWOT analysis

      UASW.4 - Logistics system implementation and ramp-up

      • Challenges in implementation and launching material handling, transport or logistics management and control systems:
        • time, budget, resource, staff and environmental constraints,
        • key players involved
        • fast ramp-up
      • Simulation-based planning of system implementation and ramp-up
        • specification and set-up of test scenarios
        • dealing with uncertainty and risk
      • Management of logistics system implementation project´
        • team building, operator training
        • communication, budget, time and resource management,
        • strategies for ad-hoc problem-solving
    Campus d'excel·lència internacional U A B