scholarly journals UNDERSTANDING THE PURCHASING PORTFOLIO MODEL – A JUST-IN-SEQUENCE APPROACH INCREASING MANUFACTURING EFFICIENCY

Author(s):  
János Juhász ◽  
Tamás Dr. Bányai

Just-in-sequence supply solutions are highly searched problems of the scheduling the manufacturing and logistics resources. The cost reduction, efficiency and capacity utilization are based on the controlled and designed parameters of the participants' supply processes and services. To increase logistic operations and other services in supply chain’s inventory activities, the optimization of the supply process is unavoidable. The aim of this article to measure the efficiency of the supply chain’s inventory activities in manufacturing technology processes. Based on the results of the application of our ABC-XYZ model approach to defines the importance of product values in the inventory management systems. The case study and computational results validate the matrix model and evaluates its efforts to renewing manufacturing and delivery processes's efficiency in inventory strartegies based on just-in-sequence strategy.

2015 ◽  
Vol 1 (1) ◽  
pp. 50-59
Author(s):  
Letícia De Cassia Teixeira Vilhena ◽  
Priscilla Cristina Cabral Ribeiro

Among logistics activities, inventory management stands out for cost increasing, demand fluctuations and for ensuring reasonable operational resources use. Therefore, a tool that enables more efficient inventory management Vendor Managed Inventory - VMI. It enables inventory monitoring by the supplier, being his responsibility immediately resupply when safety stock is reached. In face of such importance, this study aims to analyze VMI adoption in a food retailer inventory. So, a qualitative approach was used, presenting a case study, with semi-structured interviews with a script of questions. Thus, through this research we could identify advantages such as stock and delivery cost reduction.


2017 ◽  
Vol 11 (1) ◽  
pp. 12-31
Author(s):  
Astrid Anastasya Jovanka ◽  
L Jade Faliany

The purpose of this paper is to calculate branding consultant cost using Time-Driven Activity-Based Costing (TDABC). TDABC calculate cost based on activity that is controlled by time. The method that is used in this research is a case study in Unixon, a small business that works in the field of branding, using data from 2016. Interviews were conducted. The cost and activity database was analyzed. The results of this research show that TDABC can be applied in this Company because it qualified the requirements; diversity in product and different time consumption ratio for each product. TDABC provided more accurate cost information by calculating all costs; cost to make and cost to sell. Implementation of TDABC also show time capacity utilization by comparing actual labor hours and work hours that is controlled by government regulation. By understanding this condition, the owner is able to evaluate the amount of job that is done, time consumption, and employee who is involved. To implement TDABC, the Company must consider each steps needed from identifying activity, assign cost to activity, calculate tariff per activity, to calculate cost of product.


2018 ◽  
Vol 2 (2) ◽  
pp. 30-35
Author(s):  
Nilmaer Souza da Silva ◽  
César Daltóe Berci

The acquisition of electricity in the Free Contracting Environment -FCE -is a consolidated alternative of cost reduction, since it allows the previous contracting of the energy to be consumed at a freely negotiated price among market players.The objective of this study was to demonstrate, through a case study, how the acquisition of electric energy in the FCEcan help reduce organizational costs and generate significant economic results.Methodologically, it was an explanatory research, with quanti-qualitative approach, whose instruments of data collection were the bibliographical research and documentary analysis coming from a case study. The analysis of the data occurred through electronic spreadsheets, graphics, and, finally, content and comparative analysis. The results demonstrate the cost reduction, of theR$ 5,000,000.00 (fivemillion “reais”),a lower payback in less than two months, and also an Internal Rate of Return -IRR -of 365%.


2020 ◽  
Vol 10 (21) ◽  
pp. 7942
Author(s):  
Liwei Chen ◽  
Meng Kou ◽  
Songwei Wang

In order to maximize inventory benefits or minimize costs, reliability and cost of inventory control models need to be identified and analyzed. These importance measures are one important approach to recognize and evaluate system weaknesses. However, importance measures have fewer applications in inventory systems’ reliability. Considering the cost, this paper mainly discusses the reliability change of performance parameters with the importance measures in inventory systems. The calculation methods of differential importance and Birnbaum importance are studied in the inventory control model with shortages. By comparing the importance values of various parameters in the model, the optimization analysis of the inventory model can be used to identify the key parameters, so as to effectively reduce the total inventory cost. The importance order and the identification of key parameters are helpful to increase the operational efficiency of the inventory control and provide effective methods for improving the inventory management. Lastly, a case study with a shortage and limited inventory capacity is used to demonstrate the proposed model.


Author(s):  
Wei Duan

Heterogeneities of individual attributes and behaviors play an important role in the complex process of epidemic spreading. Compared to differential equation-based system dynamical models of infectious disease transmission, individual-based epidemic models exhibit the advantage of providing a more detailed description of realities to capture heterogeneities across a population. However, the higher granularity and resolution of individual-based epidemic models comes with the cost of increased computational complexities, which result in difficulty in formulating individual-based epidemic models with mathematics. Furthermore, it requires great effort to understand and reproduce existing individual-based epidemic models presented by previous researchers. We proposed a mathematical formulation of heterogeneous individual-based epidemic models using matrices. Matrices and vectors were applied to represent individual attributes and behaviors. We derived analytical results from the matrix-based formulations of individual epidemic models, and then designed algorithms to force the computation of matrix-based individual epidemic models. Finally, we used a SARS epidemic control as a case study to verify the matrix-based formulation of heterogeneous individual-based epidemic models.


2016 ◽  
Vol 1 (1) ◽  
pp. 93
Author(s):  
Sri Maryati

This research aims to understand the process of production and to analyze the performance of inventory system on production division of PT. Tiga Serangkai. The data has been gathered from direct observation of the process production and warehouse and the interview with the production employee, the employee of warehouse division, supervisor of purchasing and finance manager. This research demonstrates that inventory system performance of PT. Tiga Serangkai Surakarta can be optimized through the determination of inventory policy, applying a model minimum and maximum inventory that considers the safety stock in accordance with service level plan, implementing model Reorder Point (ROP) which can be used as guidelines in charging supply back, and applying the model economic ordering quantity. In doing so, they can save the cost of inventory. Keywords: inventory management, economic order quantity (EOQ), PT. Tiga Serangkai 


2019 ◽  
Vol 7 (3) ◽  
pp. 321-340 ◽  
Author(s):  
Shinya Shinya

Ongoing globalization and the rise of neoliberalism have intensified price competition in domestic and international markets. If we consider a cost reduction owing to price competition, an important question arises: what is the most effective way of reducing costs to stimulate output and growth? By constructing a Kaleckian model with an intermediate goods sector and a final goods sector, we show that reducing the mark-up rate in the latter sector rather than the former promotes capacity utilization and capital accumulation. Moreover, we show that transferring the burden of the cost reduction onto workers in the intermediate goods sector decreases the demand and growth rate.


Author(s):  
Tali Freed ◽  
Victoria C. Carson ◽  
Kenneth H. Doerr

We present a path determination method for an unmanned aerial vehicle (UAV) equipped with a radio frequency identification (RFID) interrogation system. UAV path design is one of the main factors influencing the cost of UAV inventory management systems. A case study for using a path-optimized UAV-RFID system is presented. In this case study the RFID-UAV travels above the pastures of an extensive cattle ranch scanning the RFID tags attached to the cattle in order to detect their locations. Since the UAV battery limits the flight time, the UAV path must be segmented and landing locations for recharging or battery replacement must be determined. Scanning a cattle RFID tag requires the UAV to fly within a certain distance from the animal, as opposed to approaching the animal’s exact location. The reading distance (RD) of the RFID equipment determines the allowable distance. We use an easy-to-explain method to determine the UAV path. We generate a RD-based hexagonal tiling of the pasture and minimize the UAV path such that it visits all the tile center points. Based on the current UAV system configuration and environmental conditions, the optimal UAV tour allows for the scan of each pasture segment’s animals to be completed within the battery-limited flight time. A case study was performed at the California Polytechnic (Cal Poly) State University’s Escuela and Walters Ranches. The RFID-UAV system solution is estimated to be 62%faster than the current cattle scanning practice, which requires ranch employees to search for and scan each animal from close proximity.


2012 ◽  
Vol 2 (1) ◽  
pp. 16-40 ◽  
Author(s):  
Victor Chang ◽  
Robert John Walters ◽  
Gary Wills

This paper presents Business Integration as a Service (BIaS) which enables connections between services operating in the Cloud. BIaS integrates different services and business activities to achieve a streamline process. The authors illustrate this integration using two services; Return on Investment (ROI) Measurement as a Service (RMaaS) and Risk Analysis as a Service (RAaaS) in two case studies at the University of Southampton and Vodafone/Apple. The University of Southampton case study demonstrates the cost-savings and the risk analysis achieved, so two services can work as a single service. The Vodafone/Apple case study illustrates statistical analysis and 3D Visualisation of expected revenue and associated risk. These two cases confirm the benefits of BIaS adoption, including cost reduction and improvements in efficiency and risk analysis. Implementation of BIaS in other organisations is also discussed. Important data arising from the integration of RMaaS and RAaaS are useful for management of University of Southampton and potential and current investors for Vodafone/Apple.


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