代做MSCI 231 Introduction to Operations Management 2024-25

Department Of Management Science

MSCI 231 Introduction to Operations Management

Module Outline 2024-25

Pre-requisites and limitations

The module is available to students who have taken MSCI 100 / 101  or equivalent. It cannot be taken by students who have taken MSCI 102.

Term Taught

Michaelmas, weeks 1 - 10

Contact Time

Approx. 30 hours (20 lectures and 10 seminars)

Credits

15

Why take this module?

Operations Management is a core managerial discipline for all kinds of operations - from private sector manufacturing through to public  sector services.  It is applicable to any of the  organized processes that underpin the modern world: transportation, the generation of energy, retailing, the production of goods, the provision of medical and educational services and so on. Many areas of management have strong connections with operations management, so an understanding of its main principles is relevant to all students on business and management programmes.

The nature of the subject

A large part of operations management is analytical: structuring,  measuring and  reaching logical conclusions about operations problems - such as congestion, shortage, error and failure. Part of it is constructive: being able to design processes and put together plans that systematize, coordinate and improve work. The module reflects this combination, and includes both qualitative and quantitative methods.  It is, however, grounded in practical issues and the experiences of organizations that provide case studies for the module.

Learning outcomes

By the end of the module students should be able to engage competently in the kind of problem- solving characteristic of operations management, including demonstrating an understanding of:

•   entities like supply networks;

•    use of mathematical models such as those needed to optimize inventory;

•    basic principles of lean production;

•   systematic techniques of control such as those needed for quality and project management;

•   sustainability in an Operations Management context; and

•    use of forecasting models in business.

Teaching methods

The module will be taught through a combination of lectures and seminars. There will be two lecture hours each week throughout the term, and one seminar hour each week starting in the second week of term. The seminars will be based on set problems that arise from the lecture material of the previous week.

Attendance is required at all lectures and seminars and will be recorded by the University.

Outline topics

The following is a list of indicative topics that will be taught:

1.   Operations as systems

2.   Supply chain management

3.   Inventory optimisation

4.   Capacity analysis

5.   Forecasting demand

6.   ERP and lean principles

7.   Project planning & control

8.   Quality management

9.   Sustainable Operations

Assessment

Students will be assessed through a 50% group coursework assessment (CWA) which will be set in week 10 (mid-December). The deadline for submission of the CWA will be announced later in the term, both in lectures during the module and also on Moodle.

The remaining 50% will be assessed through an open book multiple choice (MCQ) examination during the summer exam period  next year  (2025). This will  be an online timed exam. Guidance will be provided in week 10 on both coursework and examination.

Workload

The total workload for the module depends on the capacities of individual students, but in addition to the time needed for attendance at lectures and seminars, students are expected to engage with:

•   weekly discussion forums

•   short set readings which will be posted on Moodle

•    preparation and solution of case problems set for the seminars

•   coursework assignments

revision for the examination

Reading and lecture notes

Materials will  be  posted to  Moodle  at  least  24  hours  in  advance  of  the  lectures. These  are  not intended to be self-explanatory and attendance at the lectures is strongly advised. Model solutions or solution guides to each case dealt with in the seminars and problem classes will be posted on Moodle after the seminar class in the following week.

The core text is Operations Management by Slack et al, published by Pearson. The current edition is the 10th, but earlier editions will also be mostly applicable. An e-version is available from the library: https://ebookcentral.proquest.com/lib/lancaster/detail.action?docID=6977559&pq-origsite=primo.  Regular access to the core text will be needed for the set reading, the set cases, and for the further development of understanding of topics.

Further Information

The Management Science Department undergraduate coordinator is based in D25, Charles Carter.

All announcements relevant to the module, as well as module materials, will be posted to Moodle.

There is a departmental Moodle page with useful information for students on all MSCI courses at

https://modules.lancaster.ac.uk/course/view.php?id=40859

Students are strongly advised to take note of warnings about late work, plagiarism and collusion. If unsure, please read the department's teaching code of practice, which can be found on the FAQ board.

Contacting Linda Hendry - the module convenor

As module convenor, I will be happy to answer any general queries about the module.  The best time to catch me is at the end of a lecture.  We will need to clear the room for the next group, but I will wait outside the lecture theatre after each lecture until I am sure none of you have waited to talk to me.

I have also set up a general questions forum on the MSCI231 Moodle site - please check out this forum if you have a question.  I prefer to use this rather than emails as many of you will have the same questions, and so I can post answers in the forum for the benefit of all students.

I work part-time on Mondays, Tuesdays and Thursdays - and will aim to ensure that any questions on the forum are answered at the end of each of my working days.

Of course, if your question is personal, you can email me.   If so, please make sure you introduce yourself as being a student from this module, and I will answer as soon as possible on one of my working days.

We hope that you enjoy the course and welcome feedback informally and via course reps.


热门主题

课程名

mktg2509 csci 2600 38170 lng302 csse3010 phas3226 77938 arch1162 engn4536/engn6536 acx5903 comp151101 phl245 cse12 comp9312 stat3016/6016 phas0038 comp2140 6qqmb312 xjco3011 rest0005 ematm0051 5qqmn219 lubs5062m eee8155 cege0100 eap033 artd1109 mat246 etc3430 ecmm462 mis102 inft6800 ddes9903 comp6521 comp9517 comp3331/9331 comp4337 comp6008 comp9414 bu.231.790.81 man00150m csb352h math1041 eengm4100 isys1002 08 6057cem mktg3504 mthm036 mtrx1701 mth3241 eeee3086 cmp-7038b cmp-7000a ints4010 econ2151 infs5710 fins5516 fin3309 fins5510 gsoe9340 math2007 math2036 soee5010 mark3088 infs3605 elec9714 comp2271 ma214 comp2211 infs3604 600426 sit254 acct3091 bbt405 msin0116 com107/com113 mark5826 sit120 comp9021 eco2101 eeen40700 cs253 ece3114 ecmm447 chns3000 math377 itd102 comp9444 comp(2041|9044) econ0060 econ7230 mgt001371 ecs-323 cs6250 mgdi60012 mdia2012 comm221001 comm5000 ma1008 engl642 econ241 com333 math367 mis201 nbs-7041x meek16104 econ2003 comm1190 mbas902 comp-1027 dpst1091 comp7315 eppd1033 m06 ee3025 msci231 bb113/bbs1063 fc709 comp3425 comp9417 econ42915 cb9101 math1102e chme0017 fc307 mkt60104 5522usst litr1-uc6201.200 ee1102 cosc2803 math39512 omp9727 int2067/int5051 bsb151 mgt253 fc021 babs2202 mis2002s phya21 18-213 cege0012 mdia1002 math38032 mech5125 07 cisc102 mgx3110 cs240 11175 fin3020s eco3420 ictten622 comp9727 cpt111 de114102d mgm320h5s bafi1019 math21112 efim20036 mn-3503 fins5568 110.807 bcpm000028 info6030 bma0092 bcpm0054 math20212 ce335 cs365 cenv6141 ftec5580 math2010 ec3450 comm1170 ecmt1010 csci-ua.0480-003 econ12-200 ib3960 ectb60h3f cs247—assignment tk3163 ics3u ib3j80 comp20008 comp9334 eppd1063 acct2343 cct109 isys1055/3412 math350-real math2014 eec180 stat141b econ2101 msinm014/msing014/msing014b fit2004 comp643 bu1002 cm2030
联系我们
EMail: 99515681@qq.com
QQ: 99515681
留学生作业帮-留学生的知心伴侣!
工作时间:08:00-21:00
python代写
微信客服:codinghelp
站长地图