DESIGN OF STOCK TAKING POLICY TO REDUCE THE TOTAL COST OF STOCK TAKING USING CYCLE COUNTING METHOD IN WEST JAVA DISTRIBUTION CENTER OF PT. XYZ

PT. XYZ is a 3rd Party Logistic who provide services to the client including Warehousing, Transportation & Distribution, Cross Docking In-plant Value Added Service and Logistics. They have a Distribution Center (DC) in Cibiru, Bandung to handle FMCG product. In maintaining the accuracy of its products, PT. XYZ has an average inventory accuracy for 6 months by 92.71% with the implementation of stock take activity conducted every month to 6 SKU’s calculation. The total of stock take cost is Rp 62.022.000,00, with performing 2 days freeze activity. PT. XYZ needs to redesign the stock take policy and procedure in order to minimize the total cost of stock take activity and improve inventory record accuracy (IRA) higher than 92%. The calculation of ABC cycle counting method is done to determine the number of SKUs are counted in each stock take activity based on the value of each product. Results of calculation ABC cycle counting method is used to determine the schedule of stock take activity. Then the analysis of business process with business process improvement using streamlining tools in order to get an improvement of shorter cycle time. The use of cycle counting method chosen to focus more on calculations based on products that have demand and value. The implementation of the proposed stock take policy can reduce labor time by minimizing the stock take activities up to 19%, and have a load calculation of SKUs quantity reduced by 98.36%. Provide cost reduction of stock take activities as much as 17.30%, by reducing a cost of Rp 10.764.000,00 and The company should not do the freeze activity anymore. Business processes of stock take activities that have increased efficiency of 0.14 and a decreased time in each SKU stock take time of 634.46 seconds to 441.53 seconds

DESIGN OF LIFE CYCLE COST (LCC) ANALYSIS CSHARP BASED SOFTWARE TO INCREASE THE EFFECTIVENESS AND EFFICIENCY IN MACHINE MAINTENANCE

Globalisation era is era where technology becomes primary need for every sector in industry. Technology that usually used by manufacturer are robot, machine, information system/ technology, etc. Those technology can help the company to minimize defect and control the production time which is one of quality control system scope. One of quality control aspect is maintenance management which often become an issue in a company because it spend a lot of money. Thus, in this era most of company are challenged to find a method that make maintenance more efficient and effective, minimize cost and complexity. The method that suitable with this case is life cycle cost analysis. Unfortunately, most of company lack of industrial engineer in their maintenance department that cause life cycle cost can not be applied in those company, whereas life cycle cost analysis is method that can help the company to get the optimum lifespan of machine or equipment, and how many maintenance crew that needed in every maintenance activity for each machine which drive to the minimum overall cost that has to be paid during the lifespan of machine or equipment. The aim of this research is to build an application or software that can help the company and maintenance department to perform life cycle cost analysis. With this application, it is expected that many companies can push down their expenses and make the machine perform better. Keywords: Life Cycle Cost, LCC, Csharp, Application, Software, Maintenance

The cost of inflation: a mechanism design approach

I apply mechanism design to quantify the cost of inflation that can be attributed to monetary frictions alone. In an environment with pairwise meetings, the money demand that is consistent with a constrained-efficient allocation takes the form of a continuous correspondence that can fit the data over the period 1900-2006. For such parameterizations, the cost of moderate inflation is zero. This result is robust to different assumptions regarding the observability of money holdings, the introduction of match-specific heterogeneity, and endogeneous participation decisions.Inflation (Finance) - Mathematical models ; Demand for money ; Monetary theory

The design of low cost structures for extensive ground arrays

The development of conceptual designs of solar array support structures and their foundations including considerations of the use of concrete, steel, aluminum, or timber are reported. Some cost trends were examined by varying selected parameters to determine optimum configurations. Detailed civil/structural design criteria were developed. Using these criteria, eight detailed designs for support structures and foundations were developed and cost estimates were made. As a result of the study wind was identified as the major loading experienced by these low height structures, whose arrays are likely to extend over large tracts of land. Proper wind load estimating is considered essential to developing realistic structural designs and achieving minimum cost support structures. Wind tunnel testing of a conceptual array field was undertaken and some of the resulting wind design criteria are presented. The SPS rectenna system designs may be less sensitive to wind load estimates, but consistent design criteria remain important

Target value design: using collaboration and a lean approach to reduce construction cost

Target Costing is an effective management technique that has been used in manufacturing for decades to achieve cost predictability during new products development. Adoption of this technique promises benefits for the construction industry as it struggles to raise the number of successful outcomes and certainty of project delivery in terms of cost, quality and time. Target Value Design is a management approach that takes the best features of Target Costing and adapts them to the peculiarities of construction. In this paper the concept of Target Value Design is introduced based on the results of action research carried out on 12 construction projects in the USA. It has been shown that systemic application of Target Value Design leads to significant improvement of project performance – the final cost of projects was on average 15% less than market cost. The construction industry already has approaches that have similarities with elements of the Target Value Design process or uses the same terminology, e.g. Partnering and Target Cost Contracts, Cost planning, etc. Following an exploration of the similarities and differences Target Value Design is positioned as a form of Target Costing for construction that offers a more reliable route to successful projects outcomes

Low cost concentrator

The key to concentrator cost effectiveness is the proper design of the reflector surface panels. The low cost concentrator reflective surface design is based on use of a thin, backsilvered mirror glass reflector bonded to a molded structural plastic substrate. This combination of reflective panel material offers excellent optical performance at low cost. The design approach, rationale for the selected configuration, and the development status are described. Reflective panel development and demonstration results are also presented

Multi-objective design optimisation of standalone hybrid wind-PV-diesel systems under uncertainties

Optimal design of a standalone wind-PV-diesel hybrid system is a multi-objective optimisation problem with conflicting objectives of cost and reliability. Uncertainties in renewable resources, demand load and power modelling make deterministic methods of multi-objective optimisation fall short in optimal design of standalone hybrid renewable energy systems (HRES). Firstly, deterministic methods of analysis, even in the absence of uncertainties in cost modelling, do not predict the levelised cost of energy accurately. Secondly, since these methods ignore the random variations in parameters, they cannot be used to quantify the second objective, reliability of the system in supplying power. It is shown that for a given site and uncertainties profile, there exist an optimum margin of safety, applicable to the peak load, which can be used to size the diesel generator towards designing a cost-effective and reliable system. However, this optimum value is problem dependent and cannot be obtained deterministically. For two design scenarios, namely, finding the most reliable system subject to a constraint on the cost and finding the most cost-effective system subject to constraints on reliability measures, two algorithms are proposed to find the optimum margin of safety. The robustness of the proposed design methodology is shown through carrying out two design case studies