Friday, February 14, 2020

Compare and contrast the competing perspectives of structuralists and Essay

Compare and contrast the competing perspectives of structuralists and antistructuralists on the structure-conduct-performance paradigm. What are the implication - Essay Example An example of Game Theory would be if Company X makes product X, and Company Y makes product Y. A third company, Company XY, buys product X and Y to produce product XY. Company X, Company Y, and Company XY would be named as players under the Game Theory. If Company X raises the cost of their product, Company XY is affected. The rise in product X’s cost could even affect Company Y, if Company XY’s chooses to increase the price of their product with the result of lower sales of product XY. Game Theory has a few elements that are important to mention. As mentioned before players are one element, the other elements include payoffs, actions, and rules (Jaquier 2003). Players are the actual firms. Payoffs are the rewards or punishment of the players in the game. In the scenario above, Company X could have been punishing Company XY or rewarding Company Y, depending on the circumstances. Actions are the decisions made by the players. The rules define the players, actions and pa yoffs. This makes up the basics of Game Theory. An oligopoly is a couple of large suppliers controlling a particular market. The market concentration is normally high. Companies encompassing an oligopoly produce brand quality products. Barriers exist for firms on the outside an oligopoly, due to the necessity of brand quality products the firms on the inside of the oligopoly produce. The interdependence between companies in an oligopoly is vital. Each company in an oligopoly must anticipate what the other companies/players will decide concerning investments, prices, or any other important business decisions. Economists seek to predict these decisions by using Game Theory (Oligopoly 2005). Game Theory helps players logically figure out the decisions other players will make. Game Theory not only helps predict players decisions, but has an impact on politics, other businesses, pricing of products and services, locations for industrial plants, and even enviormental issues

Saturday, February 1, 2020

Vehicle Routing and Container Loading Problem Research Paper

Vehicle Routing and Container Loading Problem - Research Paper Example To optimize on the supply chain operation, researchers developed solutions for the vehicle routing problem (VLP) and also the container loading problem (CLP). It is impossible to optimize the routing process only and fail to optimize the CLP process. Likewise is impossible to develop solutions for CLP without developing VLP solutions. This paper suggests the use of an integrated approach to solve the routing problem. Several methods have been put across by different mathematician to help tackle the routing and packing problems. Some of these methods include the formulation of mathematical models, the use of algorithms as well as the integration of the two methods. This paper suggests the use of an integrated vehicle routing and container packing problem with the use of generic algorithms. G= (VA) which represents the complete graph with V representing the nodes and A representing the arc set, the vertex set V is described by V= and 0 represent the depot and represent the nodes. K represents the number of available vehicles. The vehicles are defined by their length, width and height. These dimensions are defined as HK, MK, WK,LK which represent the height , weight, width and length of the vehicle. the cost of vehicles to travel from point i to j is given by Cijk, the traveling time for the vehicle from the point i to j is given by tijk, the service time of vehicle K at node i is given by Sik, the cargo type is represented by, the length of the cargo is represented by lp, while the cargo width is represented by wp. The weight of the cargo is given by mp. The time taken to load cargo to the track is given by tdpk, while the time taken to unload the cargo is given by tupk. The demand for the cargo at a given node (n) is represented by Dp(i). The number of cargo delivered by vehicle K is given by. Setting the constrains Clients; the model assumes that the clients are distributed within a given geographical area. Some clients are near the deport while others are situated away. Deport: the model assumes that there is one deport to serve these clients Vehicles; the vehicles are the same, that is they are homogenous Vehicle capacity; the capacity constrains for the vehicle are given by weight that the vehicle can carry and the volume of the vehicle. The volume of the vehicle is defined by setting (length by width by height of the vehicle). The correct definition involves defining