The Location Allocation Problem

The policy analyst can sketch out an implementation plan for the most highly ranked alternative(s) that considers:

The criteria that data center companies use to determine future locations is immensely sophisticated, considering

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Size of desks park = number of businesses in delivery area x number of employees (you might want to refine this number based on the sector as not all employees have desks)

Since alternative policy options, our criteria and weighing are projected, it is possible for us to analyze alternatives against criteria.

You are part of a committee responsible for setting out rules for allocating ventilators during a mass casualty event—either a natural outbreak or bio terror attack in which there are not enough ventilators for the projected number of patients. Provide an account of the ethical principles you think should be incorporated into these rules, taking into account both how you distribute ventilators in preparing for a potential event, and how you allocate them once the event has happened.

In conclusion, our current resource allocation does not meet the deadlines of June 30, 2012 and we have offered a few of our own solutions to alleviating these drawbacks. We have established that the facility specialist rang up approximately 662hrs in our initial number crunching diagnosis, and were able to balance that out with a secondary facility specialist. As we have pointed out before, we will increase costs by doing this, but the costs outweigh the potential for not meeting our primary deadlines. Attached is a list of the tasks that would be associated with the Facility Specialist which would have him completely over allocated, from helping to select an architect, to installing equipment, we do need the expertise but as a manager we have to mitigate the risk involved with over-extending someone’s human capabilities. As we continue to plan this endeavor, we will uncover many things that may need to change and hopefully with this pre-planning we were able to reduce the amount of changes we will make later. Thank you.

The following explanation is structured based on the decision making model: Define the problem (A), Analyze Alternatives (B), Make a Choice (C), Take Action (D), Evaluate Result (E). For each of the steps in the decision-making process, I will list each situation in order (1-4) stated in Case 9, W-115.

The analysis is the second stage where a review of the ongoing operation is conducted, the future program is validated and expanded, and the forecast of the required facilities is provided and evaluated on how it will suit the market. The analysis will not be full

Resource allocation refers to the distribution of resources, and in particular finance, from the centre to peripheral levels. It generally concerns broad levels of aggregated financial resources. Budgeting implies the more detailed determination of precisely how these funds are to be used. Given the importance we have placed on planning as a process that leads to action, budgeting and resource allocation are major planning instruments.

He has used both qualitative and quantitative techniques in his works. Some of the techniques used by him include MCDM approaches such as Interpretive Structural Modeling, Analytical Hierarchy Process, ViseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Fuzzy TOPSIS etc. He has also used hybrid approaches such as Analytical Hierarchy Process and Grey Relational Analysis, fuzzy analytical hierarchy process and genetic algorithm etc. These methodologies, although useful, when multiple criteria exist, but many times these do not provide practical real life solutions to many problems. Further, there exists high uncertainty that why one approach is preferred over other in solving a particular problem, except for few situations. It still needs to be found out whether the literature suggesting the above approaches is really used by managers. Recently, Kannan also applied statistical technique, Partial Least Squares, in one of his

The relationship of the market area between a lower order center and the centers of the higher level can also be indicated by the value 3. 2. The transportation principle Christaller pointed out that the marketing principle is an awkward arrangement in terms of connecting different levels of the hierarchy. As an alternate arrangement, Christaller suggested that central places could be organized according to what he called the transport principle The traffic principles states that the distribution of central places is most favourable when as many important places as possible lie on one traffic route between two important towns, the route being established as straightly and as cheap as possible. The more unimportant places may be left aside. According to the transport principle, the central places would thus be lined up on straight traffic routes which fan out from the central point. When Central places are arranged according to the traffic principle, the lower order centers are located at the midpoint of each side of the hexagon rather than at the corner. Thus the transport principle produces a hierarchy organized in a k=4 arrangement in which central places are nested according to the rule of four.

These three methods are usually used simultaneously in order for corporations to evaluate different decisions or projects. Some of these methods might seem simple and easy to use; however, they should never be ignored or taken slightly as they can be of great benefit in determining the right decisions.

Uncapacitated fixed charge Facility Location problem (UFL) aims to locate facilities in a network. This company’s optimization problem decides the number of facilities to build and location to build facilities and how customers should be allocated to these facilities. The objective is to minimize cost, including both the cost of transporting goods from facilities to customers (consider both how many items and the distance) and the fixed cost of facilities. Uncapacitated fixed charge Facility Location problem is a modification of P-median problem. The key differences between this model and the P-median problem are (1) only UFL considers the fixed facility location costs; (2) there are not constraints on the number of located facilities in UFL. The BIP formulation is shown below: MINIMIZE X j∈JX i∈I FjYi + CijXij SUBJECT TO: X j∈J Xij = 1 ∀i ∈ I

What is an assignment problem? It is true to say that it is a special case of the transportation problem? Explain. How can you formulate an assignment problem as a standard linear programming problem? Illustrate. What do you understand by an assignment problem? Give a brief outline for solving it.