Factors Affecting the Performance of Inventory Management in Government Entities

2017 ◽  
Vol 4 (3) ◽  
Keyword(s):  
Inventory Management ◽  
Factors Affecting

scholarly journals Elimination of Misconduct in Manual Counting Process as an Improvement of Inventory Accuracy in A Manufacturing Company

2021 ◽  
Vol 10 ◽  
pp. 140-150
Author(s):  
Iman Haddad Qaisara Dhia Mohd Mahzan ◽  
Khai Loon Lee
Keyword(s):  
Inventory Management ◽  
Human Error ◽  
Counting Process ◽  
Automation System ◽  
Network System ◽  
Direct Influence ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
Manual Counting ◽  
Manufacturing Company

Managing inventory is crucial especially for manufacturing companies as it has a direct influence on profits of the company. In order to have an efficient inventory management, inventory accuracy need to be achieved and this can be achieved by leveraging technologies and techniques that can minimize the human error. The objective of this study is to investigate the factors affecting inventory inaccuracy in Factory 21 of ABC manufacturing company. This study reveals that the inventory inaccuracy is influenced by the order received in the factory, which is due to the human misconduct during the manual counting process of cartons on pallet. This paper proposes the deployment of Arduino sensor network system in automating the carton counting process.The findings for this study show that the automation system able to improve the inventory record accuracy in ABC manufacturing company.

scholarly journals THE IMPACT OF COVID-19 ON LOGISTICS AND THE ASSOCIATED DISRUPTIONS

2021 ◽  
Vol 57 (9) ◽  
pp. 6254-6260
Author(s):  
Mohit Mohanan T, Dr.Vandana Sonwaney
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Factors Affecting ◽  
Supply Chain Networks ◽  
Current State ◽  
Item Questionnaire ◽  
First Case ◽  
Freight Forwarding ◽  
The Impact ◽  
Essential Food

This research study was conducted with the purpose of understanding the impact of COVID-19 on the logistics segment and the associated disruptions in the food supply chain. In the current times, the entire world is challenged by a disease called coronavirus or popularly known as Covid-19. In December 2019, Wuhan in China reported the first case ever. COVID-19 has heavily affected the supply chain networks, logistics in particular. Markets and firms are connected by Logistics companies through the provision of different services, including multimodal transportation, freight forwarding, warehouse management, and inventory management. A diverse pool of logistics players across the world have been impacted owing to the current state of the pandemic. This paper analyzes the disruptions in the movement and delivery of essential food items and how resilient a supply chain should be during such periods of crisis. An experiment was carried out to understand the factors affecting the food essentials delivery to the local kirana stores. For this, a survey of 200 respondents (kirana shop owners) was conducted with the help of a 14-item questionnaire. Factor analysis was the tool used to analyze the results and the software used was SPSS. The outcome of the analysis showed that 5 factors were extracted which tried to explain the 14 variables used in the survey which were afflicted due to the coronavirus pandemic.

scholarly journals Role of Inventory Management on Competitive Advantage of Small and Medium Companies in Thailand

2021 ◽  
Vol 12 (8) ◽  
pp. 2753-2759
Author(s):  
Pornthep Kaewchur, Et. al.
Keyword(s):  
Competitive Advantage ◽  
Control Systems ◽  
Inventory Control ◽  
Inventory Management ◽  
Structural Equation ◽  
Qualitative Data ◽  
Equation Model ◽  
Factors Affecting ◽  
Management Factors

The purposes of this research were to study the inventory management factors affecting the competitive advantageand confirm the inventory management factors affecting the competitive advantage. This research was a mixed methods research.First, the quantitative data was collected from the sample of 280 small and medium companies in Thailand. This research focusedon 14 observable variables. Then, the qualitative data was collected from nine key informants who were the experts in theinventory management field. The results indicated that the structural equation model was consistent and harmonious with theempirical data with the model consistency indices as follows: 2= 106.32, df = 69, 2/ df = 1.54, CFI = 0.99, GFI = 0.95, SRMR= 0.042, RMSEA = 0.044. Furthermore, the inventory control systems had the greatest influence on the competitive advantage,followed by inventory control practices, and information technology, respectively.

Design framework for a lean warehouse – a case study-based approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
P. Raghuram ◽  
Mahesh Kumar Arjunan
Keyword(s):  
Inventory Management ◽  
Material Handling ◽  
Flow Characteristics ◽  
Design Procedure ◽  
Resource Planning ◽  
Content Type ◽  
Factors Affecting ◽  
Lean Principles ◽  
Warehouse Design

PurposeThis purpose of this study is to develop a simple framework for designing a warehouse incorporating lean principles. Multiple objectives like resource planning, material handling, storage, inventory management, including internal and external logistics, are considered.Design/methodology/approachA design procedure to incorporate lean principles for designing a warehouse for a complex multi-model production line has been proposed. The preferred standards and factors affecting warehouse design, the inputs and outputs of process flow characteristics, are incorporated into the design. Current and future state value stream mappings are drawn to bring out the challenges in the value flow.FindingsThe framework for designing a lean warehouse have been implemented and validated in a heavy machinery manufacturer. This framework will ease the work of the future lean-based warehouse designers to apply simple step-by-step processes to achieve the goal with the nearest accuracy. The steps followed can be summarized as defining the lean processes, making the lean process as the design base, collecting inputs like stock-keeping unit master, inventory and space details, and building the lean warehouse design with the step-by-step processes.Practical implicationsPractical tips on warehouse design have been explained focusing on the part volume, quantity handled, inventory and throughput. This will assist the practitioners in designing a lean warehouse and leading to an improved operational performance.Originality/valueA simplified design procedure for designing a lean warehouse, along with a real-time case study has been enumerated in detail. Effective use of space and resources with lean tools and techniques lead to better storage and picking efficiency resulting in an overall reduction in cost.

scholarly journals Sustainable disaster supply chain management for relief operations in Bangladesh

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zerin Tasnim ◽  
Abu Bakar A. Hamid ◽  
Yogesh K. Dwivedi ◽  
Mahmud A. Shareef
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Quantitative Research ◽  
Organizational Capabilities ◽  
Chain Management ◽  
Content Type ◽  
Factors Affecting ◽  
Relief Operations ◽  
Humanitarian Supply Chain

PurposeNumber of disastrous events are rising globally, and it is important to manage the humanitarian supply chain management process to assist the disaster affected individuals in terms of relief operations. Effective relief operations can help to recover the materialistic loss due to any disaster. But there is a paucity of studies regarding this issue for developing countries. This study, hence, inspected the factors that affect the disaster supply chain management (DSCM) processes for relief operations in Bangladesh.Design/methodology/approachThis study examined the factors affecting relief operations through a qualitative analysis. This study used thematic analysis. Interviews were conducted with related supply chain individuals who were triangulated by data from related publications and blogs.FindingsThe study showed that sustainable DSCM for relief operations in Bangladesh require addressing few factors as organizational capabilities, warehousing locations and inventory management, infrastructure facility, coordination among partners, government and local authority support to create a transparent, efficient, effective and sustainable DSCM process for relief operations in Bangladesh. The system loopholes can be identified and rectified on the base of these factors.Research limitations/implicationsThe number of interview respondents was limited to twenty who were selected randomly from four organizations. To create a sustainable disaster supply chain management (SCM) for relief operations few factors were considered as predominant factors in Bangladesh context to generalize the developing country contexts and other factors were not considered. Therefore, for farther humanitarian research, the model of this study can be used for quantitative research and the hypotheses can be tested empirically to get more acute findings.Practical implicationsAs this study identifies the factors which can help to create a sustainable DSCM system for relief operations, hence practically, Bangladesh humanitarian SCM agencies will be beneficial from this study. They can easily recognize the factors need to be considered to create a sustainable DSCM process for relief operations.Originality/valueThis is a unique study carried out to examine the factors affecting DSCM process for relief operations in Bangladesh.

scholarly journals Study on Inventory Management Optimization of Small and Medium-sized Retail Companies in the Context of New Retail

2021 ◽  
Vol 9 (5) ◽  
Author(s):  
Zhou Chuanpeng ◽  
Zhang Yi
Keyword(s):  
Inventory Management ◽  
Delivery Method ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Before And After ◽  
Innovation Ability ◽  
Management Optimization ◽  
Hierarchy Process ◽  
Weight Data

The emergence of "New Retail" produces a great impact on the inventory management of retail companies. Using ASY company as the study object, this paper calculates weights of factors affecting inventory management with the Analytic Hierarchy Process (AHP) method to obtain the weight data of each factor before and after the New Retail appears. On this basis, it analyzes how New Retail affects the inventory management of ASY company. Besides, it offers optimization strategies and effect feedback indicators for the following problems faced by this company: pay less attention to delivery method and management system; poor incentive polices for employees; lay less stress on FMCG; too many goods are distributed by manufacturers; heavy workload; increased impact generated by fund restrictions; little knowledge about New Retail; make little efforts to improve employees' learning and innovation ability.

scholarly journals Inventory Management of Railway Logistics Park Based on Artificial Neural Network

2020 ◽  
Vol 53 (5) ◽  
pp. 715-723
Author(s):  
Li Gao ◽  
Huandi Dou
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Inventory Management ◽  
Logistics Park ◽  
Factors Affecting ◽  
Modern Information Technology ◽  
Main Factors ◽  
Modern Information ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

In recent years, China has stepped up its support to the optimization and development of railways. Meanwhile, the development of modern information technology (IT) has enhanced the economic advantages of railway logistics. To intelligently manage the inventory of railway logistics park (RLP), this paper integrates artificial neural network (ANN) into RLP inventory management. Firstly, the functional demand of RLP inventory management was analyzed comprehensively, and the main factors affecting the inventory demand were divided into different categories. Then, the authors formulated the framework of intelligent inventory management for RLP, and put forward the strategy of continuous periodic inventory monitoring. Finally, a RLP inventory prediction model was constructed based on optimized genetic algorithm (GA) and backpropagation neutral network (BPNN), and proved effective through experiments. The research results provide reference for the application of ANN in inventory management and prediction in other logistics fields.

scholarly journals Factors Affecting the Efficiency of Inventory Management of Janapriya Multiple Campus, Pokhara

2018 ◽  
Vol 6 ◽  
pp. 78-87
Author(s):  
Hari Bahadur Bhandari
Keyword(s):  
Inventory Management ◽  
Interdisciplinary Studies ◽  
Middle Level ◽  
Primary Sources ◽  
Primary Data ◽  
Factors Affecting ◽  
Record Keeping ◽  
Staff Group ◽  
Procurement Procedure ◽  
Stock Information

Each and every organization needs inventories to perform day to day activities to achieve set objectives. This study entitled 'factors affecting the efficiency of inventory management of janapriya multiple campus, pokhara' is to assess the factors that affect on inventory management of the campus. Basically, the study is based on primary data including 21 sample out of total population 28. Stratified random sampling is used to select a sample size of 21 respondents. Structured questionnaire and other official documents are used to collect data from primary sources. Samples were three groups of office staff. Group wise distribution of sample was top level, middle level and assistant level. The collected data are tabulated and presented according to the needs and objectives of the study. Descriptive statistics of mean and standard deviation were used for data analysis. Factors related with proper record keeping of inventory, financial resources, skill possessed by store staff and bureaucratic procurement procedure positively affect on the effectiveness of inventory management. Proper inventory record, stock information and competent & qualified store employees are very important for the effectiveness of inventory management. Sufficient fund, skillful store clerks, training and development for store staff, few quality suppliers and easy process of budget release are inevitable for superior inventory management. Janapriya Journal of Interdisciplinary Studies, Vol. 6 (December 2017), page: 78-87

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