MANAGEMENT OF INDUSTRIAL AND LOGISTIC SYSTEMS

The course presents production systems from a management point of view and provides the fundamental technical and economic tools for the sizing and management of process and service plants and for project management.

The teaching methodology includes lectures and exercises on application cases using the spreadsheet. Ample space is dedicated to the treatment of random variables and the related simulation approach.

Frontal lessons on theoretical topics carried out via video projector or overhead projector. Exercises carried out in the classroom via video projector and spreadsheet. Collective implementation of numerical exercises. Brief simulation of the exam (numerical exercise).

As part of Project Management, the development of supervised project work will also be proposed (some revisions of the Project work may also be conducted remotely).

If the teaching is taught in mixed or distance learning mode, the necessary variations may be introduced compared to what was previously declared, in order to respect the planned programme.

The obligation to attend is governed by the University Teaching Regulations and by the Regulations of CL Industrial Engineering.

Frequencies will be recorded by teachers using the tools made available by the University's teaching services.

References: main probability distributions; combinatorics elements; Set Theory; use of measuring units and dimensional equations; capitalization and economic discounting; random sampling.

Introduction: The industrial enterprise, the industrial plant and the general plant services. Industrial plants classification and performance.

Economic engineering principles and plant decisions: the production function, fixed costs and variable costs, depreciation and amortization; revenue and profit; decision-relevant costs; the company's equilibrium in the short run; contribution profit margin obsolescence and wearing; residual value of plants; capital costs and operating costs; inefficiency costs; economic amortization; industrial investment evaluation criteria.

General methods for sizing plant services: continuity of operation and probability of asset failure; reliability and availability of components and systems in simple reliability configurations; cost of the reserve; centralization and division of services; sizing of services in conditions of random and periodic demand; savings due to the size of the plants; calculation criteria for storage tanks and buffers.

Handling and storage systems: classification and plant solutions. Performance indicators of the handling and storage service. Criteria for space distribution and allocation of materials.

General techniques for the design and management of production and service plants: Elements of operational research; linear programming; Monte Carlo simulation; queue theory; layout of the systems; plant feasibility analysis.

Project management: Basic concepts and definitions. The project environment and the project manager's role. The project management process groups: initiating, planning, execution, monitoring and control, closing; overview of inputs, outputs, tools and techniques for managing project management processes.

Exercises

E1. Discount coefficients and present value of unit income. E2. Random sampling of a normal random variable. E3. Analysis of production costs. E4. Accounting and economic depreciation. E5. Evaluation of an industrial investment. E6. Calculation and simulation of the reliability of a system. E7. Continuity of service E8. Sizing of a storage accumulator. E9. Sizing of a handling and storage system. E10. Queuing theory and its simulation. E11. Linear programming application E12. Project work developed as a team.