Thesis on demand planning


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Citation: Sunnhild Bertz, 'Office suburbanisation in Dublin : user-demand, urban planning and property development', [thesis], Trinity College Dublin, Ireland. Department of Geography, , pp The role of end-user demand, urban planning and property development interests and, crucially, their interrelationship in the post period is examined.

Supply chain planning control: An examination of demand planning and inventory classification

Chapter 1 establishes the literature context with respect to property development, user-demand and urban planning and their prospective role in influencing the location of office development, more specifically its suburbanisation. This process has been variously interpreted by different authors with respect to the relative influence of each element.

Chapter 2 sets out the research methodology adopted in exploring this changing geographical trend of office development. A review of secondary sources published and unpublished relating to the planning context and the supply of and demand for office space is given.


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Primary data collection, involving the carrying out of personal interviews and a postal quesfionnaire survey is detailed and an evaluation of the quality and reliability of the data is made. The role of end-users in the emergence of new suburban office sites is examined in Chapter 3. Advisor: MacLaran, Andrew. Qualification name: Doctor of Philosophy Ph.

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Publisher: Trinity College Dublin, Ireland. Department of Geography. Please contact us if you have any concerns: rssadmin tcd. Type of material: thesis.


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As a consequence, their decision-making process was often hurried, and led to suboptimal outcomes. This problem was found throughout the company across multiple countries. It affected the inventory, which was often inaccurate, and raised costs unnecessarily.

Data2Move Research Stories: improving demand planning for an international manufacturer

She found that some activities held back performance — and others turned out to be more important than initially thought. Of course, reality may differ from the simulations, but they generally prove to be valuable. It was concluded that the company should try to reduce reporting tasks for planners and, instead, allocate more time for backorder analysis and demand consensus meetings with supply chain partners.

Furthermore, thorough data analyses showed that demand planning performance significantly decreased when planners had to spend time on assuring the data are of good quality. Therefore, it is strongly recommended that the manufacturer adopts a more accurate data system. An investment at first, which makes for a major time-saver later on.

Demand Planning - Emerging ways of Forecasting - Sanjay Saini
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