ABSTRACT
SCHOOL OF POSTGRADUATE STUDIES
This
research work deals with the role of inventory management on customer
satisfaction in a manufacturing company using Anambra motor manufacturing
company as case study. The data used in the development of this project work
were collected from various levels of management in the company, through the
use of questionnaire, oral interview which are auxiliary to the questionnaire
and helps to explain certain technical questions to the respondents so that
they will not disagree in their response from the main objective of the
questions. The study applied a case
study research design because only one entity was being studied with the
ultimate aim of gathering data from the respondents on the role of inventory
management on customer satisfaction.
A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE AWARD OF POSTGRADUATE DIPLOMA (PGD) IN ACCOUNTING
LIST OF FIGURES
2.5
Inventory valuation method fig fifo table 30
List of tables fig (2) 31
Economic order quantity fig (4) 36
Purchase Requisition form fig 5 39
Goods Received note CR fig 6 40
Goods inspection Report fig 7 40
Bin Card fig 8 41
Yaro-yamani formula fig 9 51
Bowley proportion Allocation formula
fig 52
Chi-square formula fig 11 58
LIST OF TABLES
Table
3-4-1 sample size determination 51
Table
3-4-2 distribution of questionnaire 53
Table
4-1.1 Total number of questionnaire distributed and collected 60
Table
4.1.2 personal data of respondents
62
Table
4.1.3 effectiveness and efficiency the questionnaire 63
Table 4.1.4 Analysis on question
4 65
Table
4.1.5 Analysis on question 5 66
Table
4.1.6 Analysis on question 10 67
Table 4-1-7 Analysis on question 11 68
Table
4-1-8 Analysis on question 14 69
Table 4-1-9 Analysis on question 15 70
Table
4-1-10 Analysis on question 12 71
Table
4-1-11 Analysis on question 8 72
Table
4-1-12 Analysis on question 73
Table
4-2-13a testing hypothesis I 74
Table
4-2-13b observed and expected frequencies in hypothesis I. 75
Table
4-2-14a testing hypothesis II 77
Table 4-2-14b
Observed expected frequencies hypothesis II 77
Table 4-2-15a
Testing hypothesis III 78
Table 4-2-15b Observed and expected frequencies
hypothesis III 80
TABLE OF CONTENT
Title
page i
Declaration ii
Certification iii
Dedication iv
Acknowledgement v
Abstract vi
List
offigures vii
List
of Tables viii
Table
of content ix
CHAPTER ONE
1.0
Introduction 1
1.1
Background of the Study 1
1.2
Statement of the Problems 3
1.3
Objectives of the 4
1.4
Research questions 5
1.5
Statement of hypothesis 6
1.6
Significance of the study 6
1.7
The limitation and delimitation of study 7
1.8
Definition of terms 8
CHAPTER TWO
2.0
Review of related literature 10
2.1Theoretical
framework 10
2.2.1
Assimilation Theory 11
2.2.2
Empirical Review of variables 11
2.2.3
Inventory management 11
2.2.4
Customer Satisfaction 15
2.3
Need for inventory management and control 20
2.4
Inventory control system 24
2.5
Inventory control methods 26
2.6
Inventory cost and decision model 33
2.6.2
Inventory Decision Model 35
2.6.3
Economic Order Quantity (EOQ) 35
2.6.4
Purchase Production 38
2.6.5
Procedure for Receipt and issue of inventories 39
2.7
Inventory Management in a manufacturing company 42
CHAPTER THREE
3.0 Research methodology 50
3.1
Research Design 50
3.2
Research Population 50
3.3
Sample Size Determination 51
3.4
Sources of Data 53
3.4.1
primary and secondary data 54
3.4.2
Secondary Data 54
3.5
Collection of Data 54
3.6
Validity and reliability research instruments 55
3.6.1
Interview 55
3.6.2
Design and Administration of Questionnaires 56
3.6.3
Data Analysis techniques 57
CHAPTER FOUR
4.0
Data presentation, Analysis and Interpretation 60
CHAPTER FIVE
5.0 Discussion of
findings 82
5.1
Pilferage Reduction 82
5.1.2
Eliminates idle working capital 83
5.1.3
Reduction on cost of production 83
5.2.0
Summary 84
CHAPTER SIX
6.0 Recommendation and
conclusion 85
6.1
Recommendation 85
6.2
Conclusion 86
Questionnaires 88
References
91
REFERENCES
“Advantages
of inventory management software” Author stream P. 7 Retrieved 23 Nov. 2012.
Agarwal
V. (2007) “Contemporary issues in supply chain Management” A case study of
msrico inclusive, supply chain
management. New century publication. New Delhi.
Allen,
D.R and Willburm, M (2002). “Linking customer and Employee satisfaction to the
Bottomine”. A comprehensive Guide to Establishing the impact of customer and
Employee satisfaction on critical Business out comes. ASQ Quality press. USA.
Berling.
P. (2011). “A characterization of optimal Base-stock levels for a continuous stage serial supply chain”. IESE Business school
university of Navara.
Brewer,
P.C. and speh, T.W. (2000) using the
Balanced score card to measure supply chain performance Journal of Business
logistics (12), 78-80 cachon, G. and Terwiesch, (2006), “matching supply with
Demand” An introduction to operations management. mc Graw-Hill. New York.
cacroppo, K (2000), meaning and managing
customer satisfaction” Quality Digest.
Brooame,
Jr, J. Tol (June, 1999). The Benefits of smart inventory Management software”.
CBS Interactive.
Camacho,
E.F. and Bordons, C. 2002, model predictive control springer-verlag London
limited.
Capacity
Building workshop on public procurement and inventory management (2008). Global
purchasing and supply Tutorial college. Pg. 26.
Cecil
Bozarth and Robert Hand ifield, “Introduction to operations and supply chain
management” prentice-Hall, 2006 ISBN 0139446206.
Chirstopher,
M (2008). “Logistics and supply chain management” vol 4 financial times
prentice Hal. Great Britain colburn, R (2013) “Determining the Effect of Return management Experience on
customer satisfaction”, university of Tennessee Honors thesis project copco, A
(2013).
Cole
G.A (2000). Management Theory and practice. 5th Ed. British
publishers Pg. 236.
Customization”,
IEEE Transaction on Automatic and Engineering 4 (3), 169-174.
Debasie,
colleen (Aug. 10, 2010) “Technology Basics for Business.” The wall street
journal complete small Business Guidebook.
“Debunking
the Top Eight Myths surrounding small-Business warehouse management system”
High. Jump. Software may, 2008.
Desmarais,
Chistina (24 May, 2011) “Choosing the Best inventory Tracking software” inc.
Retrieved 23 Nov. 2012.
Dolinsky,
Anton. “Inventory Management History Part four” Almyta systems. Retrieved Aug.
17, 2010.
Eckert
S.G. (2007), “Inventory management and its Effects on customer satisfaction,
Journal of Business and public policy (1), 1-2 management (29), 477-449.
Inventory management in an Agro-Allied industry:A case study of coca processing
plant in knights, M (2008) managing stocks levels: Materials management and
inventory control kethari, C.R. (2006).
Hennet,
J.C. 2003. A bimodal scheme for multi-stage production and inventory control in
Automatica-vol 39, pp. 793-805.
Hill
T, production/ operations management prentice Hall, 1991 Pg. 5.
ICAN
(2006) cost Accounting study pack for intermediate. Lagos vi publishers
Informatics
in control, Automation and probotics I 2006, pp 111-116.
Inventory
control systems’ Reference for Business, Encyclopedia of Business, 2nd
ed.
Inventory
management models: A tutorial published on: Jan, 30, 2011. By cecil Bozarth,
PhD
Inventory
management models: A tutorial SCM. 30 Jan 2011.
Inventory
management Non-classical views mohamad Y. Jaber-2009-242
“Inventory
control systems’ Clockwork Accounting. Retrieved Aug. 17 2010.
“Inventory
management software” EGA future. Retrieved 23 Nov. 2012
“Inventory
software” Webopedia Retrieved 23 Nov. 2012.
K,
Scholasticus (May 26, 2010) “Inventory Management Techniques”. Buzzle. Com.
Kirk
Patrick, E.M (1985) Chambers learners Dictionary Ibadan: Spectrum books Ltd.
Koivisto,
H. Kimpimaki, p. Kovio H, 1991 Neural predictive control- a case study in 1991
IEEE International symposium on intelligent control IEEE press.
Lambert,
E.P, 1987 process control Applications of long Range prediction. PhD thesis,
university of Oxford trimly.
Lesonsky, Rieva (1998). Tracking inventory Entrepreneur
Magazine.
Lockard,
Robert (29 Nov 2010) “3 “Advantages of using inventory management software”.
Inventory system software Blog. Retrieved 23 Nov. 2012.
Lucey,
T (1991), management information system, 6th Ed. Publications.
Lucey,
T. (1992). Quantitative Techniques, 4th ed. PD publications.
Luin,
J.V. et al (2006) “Learing inventory management strategies for commodity supply
chains with customer satisfaction” retrieved on 19th July 2013 from:
Bhausaheb, A.N and Routroy, S. (2010), “Evahation of inventory performance for
perishable products. Through simulation. “Journal of operations management (9),
71-72.
Macie Jowski, J. M, 2002. Prédictive control with
contraints-pearson Education ltd.
Moskowitz.
Robert. “ Using your computer for inventory control”. Accrision Retrieved Aug.
17, 2010.
Nweze
A.U. (2004), profit planning: A Quantitative Approach 2nd Ed. Enugu.
Okoye
Pius V.C. (1999) cost and management Accounting. Basic concepts, application
and issues. The ABC Approach. Snap press Ltd. Awka-Anambra.
Piasecki,
Dave “optimizing Economic order quantity carrying costs”. Inventoryops. Com.
Retrieved Aug. 17, 2010.
Polsson,
ken. “Chronology of Personal computers- 1981” Polsson’s web world.
“Production
and inventory management” by A.C. Hax and D. Candea
Rivera,
D.E, Braun, M.W. Flores, M.E, Carlyie, W.M. Kempt, K.G., 2003. A model predictive
control framework for robust management of multi-product, multi-eclelon demand
networks. In Annual reviews in control,
vol. 27, pp 229-245.
Shafie,
S. (2004). The Effectiveness of nendire managed inventory (VMI) Towards.
Improving supply chain management.
Singh,
Sujit. “Inventory Management
Software » cutwater solutions. Retrieved Dec. 27, 2013.
Supply
chain management Basics: SCM Basics Tariffs and Tax prime NAICS Narigator.
Towill,
D.R, 1996. Industrial dynamics modeling of
supply chains. In international journal of physical distribution &
logistics management, vol 26, No2. Pp 23-42.
Tzafestas,
. Kapstiotis, O. kyriannakis, E, 1997 modelba sed predictive control for
generalized production problems. In computers in industry, vol. 34, pp 201-210.
Uguru
L.C (2010) Cost and management accounting I. Pg 89.
Ydstie,
B.E. Grossman, I.E, perea lopez, E, 2003, A model predictive control strategy
for supply chain optimization. In computers and chemical Engineering vol. 27.pp
1202- 1218.
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