INFORMATION SYSTEMS IN MANAGEMENT V - SGGW

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36 A SYSTEM FOR COMPUTER AIDDED INTEGRATED BUSINESS PLANNING IN AGRICULTURE Andrzej Mazurkiewicz Faculty of Economics ALMAMER Higher School of Economics, Warsaw Abstract: In every company, strategic planning is a vital area. Financial and investments planning in the strategy preparation has to take into consideration technological relationships, market constraints and finance area of the company. The above creates approach called integrated business planning (IBP). It is a complex area because of the size of the necessary information and the number of interrelationships. Computer aided process would have a real value for managers. This article presents a concept of a system that can help farm managers to use the IBP approach while making strategic decisions at their work. Such IBP for the agriculture has to comprise agriculture technological knowledge, financial interdependencies, market predictions and investments scenarios. Necessary models have to be generated automatically. On their basis, 'whatif' scenarios can be analyzed. Key words: integrated business planning, strategy planning, investments, agriculture. 1. INTRODUCTION In every company, strategic and operational planning are vital areas. Improper planning process can ruin every firm. An integrated business planning (IBP) approach integrates company's technology, market knowledge and financial area as a whole. Thus, all considerations in IBP should cover company internals as well as the operating environment what causes increased complexity of analysis ([Manners2006], [Whitehair1996]). As a conclusion, a computer aided process would be of a real value for managers. This article presents a concept of a system that can help farm managers to use integrated business planning to make strategic decisions in their work.
2. OVERVIEW OF THE SYSTEM An integrated business planning system in agriculture should contain a source information on: agriculture technological knowledge, market predictions, financial interdependencies, current state of a considered farm. Basing on it, the system should be able to construct the necessary models. A performance of 'what-if' scenarios should be possible as well. Since the whole system is supposed to be used for planning purposes, two types of computations have to be carried out in a sequence. In the first phase, the farm manager is interested in the final goal, i. e. in final production structure that has to be reached in a certain time (Fig. 1). At this stage fixed resources of the considered farm are also adjusted, i. e. investments structure is being determined. Figure 1. An IBP tool for farms: setting a final goal. Source: own preparation. In phase two, a path to reach the final goal (Fig. 2) has to be determined. The manager should be able to add additional constrains to the path. For example: minimal yearly profit for subsequent years, earliest time to reach profit, a limit on the external financing. 37
Page 1 and 2: WARSAW UNIVERSITY OF LIFE SCIENCES
Page 3 and 4: PREFACE Applications of information
Page 5: TABLE OF CONTENTS BOLEK M., KARWOWS
Page 8 and 9: O - Overtime - lack of systematic m
Page 10 and 11: tion of work, establishing a new br
Page 12 and 13: 12 � finding a balance point for
Page 14 and 15: 2-6-III-09 - Testing and signed Sof
Page 16 and 17: 16 Project launch: 16-III-09, Deadl
Page 18 and 19: different methods of management. In
Page 20 and 21: all phases of the enterprise, while
Page 22 and 23: phase. Additionally, the specificat
Page 24 and 25: the enterprise level: knowledge is
Page 26 and 27: INTEGRATED MANAGEMENT SYSTEM FOR UN
Page 28 and 29: � system should enhance the avail
Page 30 and 31: additional application Ksantypa ded
Page 32 and 33: strengths. The main advantage is th
Page 34 and 35: and Materials Management (MMI), Pay
Page 38 and 39: 38 Figure 2. An IBS tool for farms:
Page 40 and 41: 7. STARTING POINT Every journey sta
Page 42 and 43: 10. AgroXML(2009): www.agroxml.de,
Page 44 and 45: Curry and Moore define information
Page 46 and 47: 46 � applying and implementing e-
Page 48 and 49: izational entities of the financial
Page 50 and 51: 50 PROCESS MONITORING IN IT SYSTEMS
Page 52 and 53: should use scientific methods, whic
Page 54 and 55: Processes map in the first stage of
Page 56 and 57: nisms: tolerance, range, position r
Page 58 and 59: updating in permanent intervals of
Page 60 and 61: developments in the information and
Page 62 and 63: y inputting real world decisions an
Page 64 and 65: REFERENCES 1. Barteczko K., Bocian
Page 66 and 67: � quality (means its completeness
Page 68 and 69: interrelationships could be extorte
Page 70 and 71: 3. THE INFLUENCE OF INFORMATION TEC
Page 72 and 73: outside and inside a company. Other
Page 74 and 75: � creating condition to continuou
Page 76 and 77: cerning the steering theory and sys
Page 78 and 79: are missing, such IT systems as PES
Page 80 and 81: 80 y2 - state budget expenditure in
Page 82 and 83: and next we can obtain knowledge ab
Page 84 and 85: 84 and matrix C and D: C = [ 1] and
Page 86 and 87:
86 THE IMPLEMENTATION OF E-LEARNING
Page 88 and 89:
- The criterion for advancement of
Page 90 and 91:
What is the percentage of jobs prov
Page 92 and 93:
92 Sw = n ∑ x n i= 1 n ∑ i= 1
Page 94:
REFERENCES 1. Edvinson L.,Malone M.
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