Introduction to Engineering Economics. Marginal analysis of resource allocation in the production system. The value of inputs and the concept of productivity. Production costing. The value of outflows. Break-even analysis and utility theory. Financial Activity Assessment. Investment analysis. Cash flow analysis. Comparative economic assessment. Investment selection criteria. The Investment Plan: Basic concepts and definitions. Stages of investment plan preparation. The components of an Investment Plan. Planning, establishing and evaluating Investment Plans. Balance sheet and Profit & Loss account analysis. Financial Indicators.

Introduction to the scientific field of Operations Research (OR): Definitions, history of OR science, basic disciplines. Methodological approaches, taxonomy of OR problems.Mathematical modelling, Mathematical Formulation of Optimisation problems. Introduction to Linear Programming: Theory of Linear programming, solving linear problems-The simplex method, big M method, duality theory and sensitivity analysis, irregular types of linear programming models, the transportation problem, the assignment model, integer linear programming models, typical integer problems.
Principles of simulation. Discrete event simulation. Network Analysis: minimum
spanning tree problem, shortest path problem, maximum flow problem, traveling
salesman problem. Decision Trees. Monte Carlo simulation. Dynamic programming.

Basic Probability theorems. Theorems of conditional probabilities (Bayes Theorem). Total Probability Law. Random variables – Statistical Distributions (discrete and continuous). Link with Operations Research subject (examples). Markovian processes for decision making. Markov chains. Applied Queuing Theory – Introduction. Processes of birth and death. Poisson prototypes. Other Statistical prototypes. Specific Queuing prototypes and implementation methods. Modern computational methods of Optimisation. Evolutionary algorithms. Particle Swarm Optimisation, adaptive learning and mutation. Decision analysis and decision trees. Dynamic programming.

Introduction to contemporary Supply Chain Management (SCM) principles. Supply Chain performance management – key drivers and metrics. Supply Chain network design and planning. The facility location problem. The capacity allocation problem. Demand forecasting. Time series forecasting. Measures of forecast Error. Inventory management. Statistical Inventory Control – deterministic and stochastic inventory models. The role of transportation in the supply chain. Vehicle routing & scheduling. Distribution Channels & processes. Purchasing decisions in SCM. Third Party logistics. The role of Information technology in SCM. Traceability (Bar Codes – Radio Frequency Identification principles and applications. Sustainability and the Supply Chain, Logistics 4.0: The future of logistics

Selection of plant location. Selection of mechanical equipment. Group Technology. Manufacturing system development - factory layout. Surface areas calculation. Selection of proximate sections. Detailed spatial planning. Spatial planning algorithms. Transports inside the factory. Industrial building components: grid, roof, floor, colours, work psychology. Storage: storage systems, automated warehouses, collection systems, warehouse management system. Analysis of design and implementation economic/business parameters relevant to factory/warehouse management systems. Determination of installation costs and factory operation. Expected cash flows during operation.

Typology of Production Systems. Production Line Balancing. Placement of a production facility without movement between the new departments. Placement of a production facility with movement between the new departments. Production Plant Design 1: Building blocks, Work Analysis Structure. Production Plant Design, 2: PreMeasurements, Pre-Costing. Production Plant Design and 3: Post-Measurements, Benchmarking.

Classification of Production Systems. Selection of location of installation (factory, distribution center, warehouse). Plant spatial layout. Surface areas calculation Selection of proximate sections. Detailed production, warehouse and office planning. Spatial planning algorithms. Transports inside the factory. Building fundamentals of an industrial building. Material Handling Equipment. Assessment and selection of mechanical equipment for transporting, handling and depositing materials/products within the installation. Warehouse execution procedures (pickup, storage, storage, collection, packaging, shipment). Modern Materials Handling. Warehouse Management Systems. Analysis of design and implementation economic/business parameters relevant to factory/warehouse management systems. Determination of installation costs and factory operation. Expected cash flows during operation. Determination of installation costs and factory operation.

Introduction of the Reverse and Green Logistics concepts. Presentation of the characteristics of Closed Loop Supply Chains and the prevailing Circular Economy models (3Rs, 6Rs etc). Trends in Circular Economy and the environmental impact of Logistics. The role of Reverse and Green Logistics in the Circular Economy and eBusiness strategy and operations. Green transportation. Methods for evaluating the efficiency of Reverse Logistics Networks - Green KPIs. Product Life Cycle Analysis and Courses Guide 2022-2023 11 the role of Reverse Logistics. Qualitative methods for the eco-design of Logistics. Quantitative methods for designing reverse Logistics networks: strategic and operational level. Decision making methods in Logistics network design / redesign problems. Industrial Symbiosis Networks. New emerging Industry 4.0 technologies (IoT: Internet of Things) to support Reverse & Green Logistics.

Main concepts, E-Business & E-Commerce Definitions. E-Business Strategy Implementation. E-business models analysis with the use of the Internet. E-Retailing. ELearning. Collaborative Commerce and Management of E-Supply Chains. Content Management Systems. Infrastructure and Software for the Implementation of EBusiness Applications. Security and E-Payments. M-Commerce. E-Business Evaluation & Key Performance Indicators (KPIs). Considerations about E-Business applications and future trends. The course includes a ten-week assignment concerning the development of an e-business plan of a new or existing enterprise with an emphasis on the innovation of the offered products and/or services.

Evolution of ERP systems, Business Process Reengineering, Process modelling, the ERP life cycle, ERP functionality, hands- on training with SAP system.

Introduction to Management Information Systems, Introduction to ERP Systems, E-Business Models, Business Process Modelling, Hands on Training in SAP ERP system and ARIS Platform Business Process Modelling Software.