Logistics 1st degree (1st degree / 2nd degree) General (general / practical)

Transkrypt

1 MODULE DESCRIPTION Modue code Modue name Modue name in Engish Vaid from academic year 2012/2013 MODULE PLACEMENT IN THE SYLLABUS Z-LOG-1081 Technoogie informacyjne w ogistyce Information Technoogies in Logistics Subject Leve of education Studies profie Form and method of conducting casses Speciaisation Unit conducting the modue Modue co-ordinator Logistics 1st degree (1st degree / 2nd degree) Genera (genera / practica) Fu-time (fu-time / part-time) Logistics Management The Department of Production Engineering Sławomir Luściński, PhD Approved by: MODULE OVERVIEW Type of subject/group of subjects Modue status Language of conducting casses Modue pacement in the syabus - semester Subject reaisation in the academic year Initia requirements Examination Number of ECTS credit points 3 Method of conducting casses Speciaist subject (basic / major/ speciaist subject / conjoint / other HES) Compusory (compusory / non-compusory) Poish 7th semester Winter semester (winter / summer) Logistics and Suppy Chain Management, the Fundamentas of IT, Information Technoogies, Databases, and Integrated Management Systems (modue codes / modue names) No (yes / no) Lecture Casses Laboratory Project Other Per semester 15 24

2 TEACHING RESULTS AND THE METHODS OF ASSESSING TEACHING RESULTS Modue target The aim of the modue is to famiiarise students with the appication of the most modern information technoogies for supporting ogistic management of an enterprise and for supporting suppy chain management. Effect symbo Teaching resuts Teaching methods (/c//p/other) Reference to subject effects Reference to effects of a fied of study A student has knowedge of the most modern information technoogies appied to support ogistics management of an enterprise. A student has knowedge of information soutions in supporting and integrating ogistics management of an enterprise. A student has knowedge of devices as we as technica systems of automatic identification and mobie soutions. A student is abe to provide correct documentation as regards the anaysis of resuts concerning the conducted aboratory exercises using famiiar information toos. A student can appy the acquired information toos to support ogistic management. A student can criticay anayse the method of functioning and assess technica soutions as regards ogistics information systems. A student understands innovative character of deveopment of both information systems, together with their appications, which impies the necessity of continuous earning in the subject. A student can work in a team and accept diverse roes in it; a student can aso understand particuar priorities serving task competion. / / / / K_W04 K_W02 K_W16 K_U04 K_U08 K_U14 K_K01 K_K03 T1A_W02 T1A_W03 T1A_W07 S1A_W06 T1A_W01 T1A_W02 T1A_W07 S1A_W06 T1A_W03 T1A_W06 T1A_U03 S1A_U09 T1A_U08 T1A_U09 T1A_U13 S1A_U07 T1A_K01 S1A_K01 S1A_K06 T1A_K03 T1A_K04 S1A_K02 Teaching contents: Teaching contents as regards ectures Lecture number Teaching contents Informatisation of ogistics management Reference to teaching resuts for a modue 1 The concepts and instruments of ogistic management of an enterprise. Information support of ogistic management. Logistics information system: the essence, structure, and functionaity. Information support of suppy chain management.

3 e-ogistics e-commerce. The infuence of e-commerce on ogistics. The specificity of e- ogistics. On-ine ogistics buetins. The advantages of e-ogistics. Supporting suppy chain management The SCM system. Functiona areas supported by SCM. The benefits of appying SCM. The disadvantages of SCM. Deveopment directions of SCM. Business data anaysis Data warehouses. Impementing data warehouses in an enterprise. Processing toos. Business Inteigence systems. Automatic identification systems The roe and meaning of identification. Bar codes: structure, deveopment, and types. The appication of bar codes: ogistics abe GS1. RFID. The deveopment of RFID. RFID tagging structure and the types of transponders. The advantages and disadvantages of RFID. Eectronic product code (EPC). Eectronic data exchange 6 7 The definition of EDI. Communication mode using EDI. EDI message exchange among partners in a ogistic chain. EDI goba standard: UN/EDIFACT. XML schemata for EAN.UCC eectronic messages. EAN.UCC message structure. Eectronic EAN.UCC business documents. WebEDI and ebxml soutions. Network services process in the coud. Mobie systems Mobie soutions in e-ogistics. Mobie technoogies in warehousing. Logistic appication of geographica identification. The prospects of e-ogistics deveopment 8 Safety and communication quaity. Agent technoogy: the essence, disadvantages, advantages, and appication. Web 2.0 and Web 3.0. Data exporation and acquiring knowedge in databases. 9 A fina test. Teaching contents as regards aboratory casses Laboratory cass number Teaching contents 1/2/3 The eements of ogistic information system in ERP/ERP II systems. 4/5/6 The system of eectronic suppy chain management (e-scm). Reference to teaching resuts for a modue

4 7/8/9 Business Inteigence systems and soutions. 10/11/12 Automatic identification systems and mobie soutions. The methods of assessing earning resuts Effect symbo Methods of assessing teaching resuts (assessment method, incuding skis reference to a particuar project, aboratory assignments, etc.) A fina test. A fina test. Student s active participation in aboratory casses. Individua report preparation. A discussion during aboratory casses. A fina test. A student s active participation during aboratory casses. A student s individua preparation of a report. A discussion during aboratory casses. A student s active participation during aboratory casses. A student s individua preparation of a report. A discussion during aboratory casses. A student s active participation during aboratory casses. A student s individua preparation of a report. A discussion during aboratory casses. A student s active participation during aboratory casses. A student s individua preparation of a report. A discussion during aboratory casses. A fina test. A student s active participation during aboratory casses. A student s individua preparation of a report. A discussion during aboratory casses. A student s active participation during aboratory casses. A student s individua preparation of a report. A discussion during aboratory casses. Observing a student s invovement during aboratory casses STUDENT S INPUT ECTS credit points Type of student s activity Student s workoad 1 Participation in ectures 15 2 Participation in casses 3 Participation in aboratories 24 4 Participation in tutorias (2-3 times per semester) 6 5 Participation in project casses 6 Project tutorias 7 Participation in an examination 8 9 Number of hours requiring a ecturer s assistance 45 (sum) 10 Number of ECTS credit points which are aocated for assisted work 1.8

5 11 Unassisted study of ecture subjects Unassisted preparation for casses 13 Unassisted preparation for tests 5 14 Unassisted preparation for aboratories 5 15 Preparing reports Preparing for a fina aboratory test 17 Preparing a project or documentation 18 Preparing for an examination 19 Unassisted study of ecture subjects 20 Number of hours of a student s unassisted work 37 (sum) 21 Number of ECTS credit points which a student receives for unassisted work 22 Tota number of hours of a student s work ECTS credit points per modue 1 ECTS point=25-30 hours Work input connected with practica casses Tota number of hours connected with practica casses 28+17= Number of ECTS credit points which a student receives for practica casses