Effect of Inventory Management Activities on Retailers’ Satisfaction in Inyange Industries Limited in Gasabo District, Rwanda

This research examined the effect of inventory management activities on retailer satisfaction in manufacturing industries in Rwanda from the year of 2016 to 2021. The mixed approach of both qualitative and quantitative data were used as research design to collect results from 121 respondents from 174 who were expected as sample size of the study by the use of simple random and stratified sampling techniques. Before, the actual process of data collection the researcher pre-tested the questionnaire survey and the key informant interview, which were used later for collecting data from the field. Thus, the quantitative data were analyzed using both descriptive as percentage distribution and inferential statistics represented by multiple linear regressions. Thus, the regression coefficients demonstrated that ?1 =.241, with p=0.002 < 0.05 at sig. level of 5% which proves that IOP had a statistically positive and significant effect on the satisfaction of retailers; ?2 = .311 with p=0.001 < 0.05 at a sig. level of 5% implying that ISM had a positive and statistical significant effect on satisfaction of retailers; and ?1 = .402 with p= 0.000 < 0.05 at a sig. level of 5% implying that IDM had demonstrated a positive and statistical significant effect on retailers’ satisfaction in IIL between 2016 and 2021. The respective coefficients further indicate that 24.1 %, 31.1% and 40.2% of the variability in retailers’ satisfaction can be attributed to inventory order processing, inventory storage management and inventory distribution management respectively. The research recommends IIL to adopt JIT inventory practices all the time to avoid inventory costs while retailers need to accurately forecast demand and make orders before they experience stock-outs which affects the supply chain. It is hoped that this study will encourage IIL to sustainably adopt inventory management activities that will continue to sustain their retailer satisfaction. The study may also motivate other researchers to conduct research covering the whole country in order to improve its reliability. Keywords: Inventory Management Activities, Retailer Satisfaction, Manufacturing Industries, Rwanda

Effect of Inventory Management Activities on Retailers’ Satisfaction in Inyange Industries Limited in Gasabo District, Rwanda

This research examined the effect of inventory management activities on retailer satisfaction in manufacturing industries in Rwanda from the year of 2016 to 2021. The mixed approach of both qualitative and quantitative data were used as research design to collect results from 121 respondents from 174 who were expected as sample size of the study by the use of simple random and stratified sampling techniques. Before, the actual process of data collection the researcher pre-tested the questionnaire survey and the key informant interview, which were used later for collecting data from the field. Thus, the quantitative data were analyzed using both descriptive as percentage distribution and inferential statistics represented by multiple linear regressions. Thus, the regression coefficients demonstrated that ?1 =.241, with p=0.002 < 0.05 at sig. level of 5% which proves that IOP had a statistically positive and significant effect on the satisfaction of retailers; ?2 = .311 with p=0.001 < 0.05 at a sig. level of 5% implying that ISM had a positive and statistical significant effect on satisfaction of retailers; and ?1 = .402 with p= 0.000 < 0.05 at a sig. level of 5% implying that IDM had demonstrated a positive and statistical significant effect on retailers’ satisfaction in IIL between 2016 and 2021. The respective coefficients further indicate that 24.1 %, 31.1% and 40.2% of the variability in retailers’ satisfaction can be attributed to inventory order processing, inventory storage management and inventory distribution management respectively. The research recommends IIL to adopt JIT inventory practices all the time to avoid inventory costs while retailers need to accurately forecast demand and make orders before they experience stock-outs which affects the supply chain. It is hoped that this study will encourage IIL to sustainably adopt inventory management activities that will continue to sustain their retailer satisfaction. The study may also motivate other researchers to conduct research covering the whole country in order to improve its reliability. Keywords: Inventory Management Activities, Retailer Satisfaction, Manufacturing Industries, Rwanda

Analysis Control Of Inventory Of Non Subsidy Fertilizer Merchandise With Economic Order Quantity (EOQ) Method In CV. Dohar Agro Mandiri

Economic Order Quantity (EOQ) is a mathematical model that determines the number of items that must be ordered to meet the projected demand, with minimized inventory costs. The types of costs to run the business cycle are storage costs and ordering costs. The purpose of this research is to analyze "Analysis of Non-Subsidized Fertilizer Inventory Control with Economic Order Quantity (EOQ) Method at CV. Dohar Agro Mandiri. The total inventory obtained using the EOQ method is 11,003 with a purchase frequency of 3 times. Using the EOQ method the company must reorder when the merchandise inventory is 1,015 zak, with the EOQ method the maximum inventory that the company must maintain is 12,018 per day. The total inventory cost of fertilizer merchandise inventory is 24,648. In other words, inventory control using the EOQ method can help companies achieve an optimal level of inventory ordering and ordering frequency.

Analysis Of Stock Control Of Raw Materials Of Dzohir Noodles In Bengkulu

This study aims to analyze the stock inventory control of Mie Dzohir's raw materials in Bengkulu. The analytical method used is Economic Order Quantity (EOQ), Reorder Point (ROP), Total Inventory Cost (TIC) and Safety Stock (SS). The results showed that to meet the raw material needs of 91,375 kg during the research period, from January 2020 to December 2020 (12 months), the number of economical purchases/EOQ of wheat flour raw materials that had to be made by the Mie Dzohir factory in Bengkulu was as much as 5,372 kg for each order with a purchase frequency of 17 times for a period from January 2020 to December 2020. Reorders or reorder points (ROP) can also be determined, namely reordering should be done when 345 kg of inventory is in warehouse, with a lead time of 1 days so as not to hamper the company's production process. The total inventory cost (TIC) can also be determined, namely the total cost of raw material inventory of Rp. 3.572.188, - therefore, it can save on inventory costs of Rp. 1.051.697,- .Safety stock (SS) of 95 kg which must be in the warehouse, this is intended therefore, there is no shortage of wheat flour raw materials if there is a delay in the delivery of raw materials.

EOQ Development Model in Optimize Raw Material Inventory

The purpose of this study was to determine the amount of safety inventory, order frequency, minimum inventory, maximum inventory limit, total Melon product inventory costs needed by PT. Rajawali Asia Bali uses the EOQ method. Data analyzed using the EOQ method shows that PT. Rajawali Asia Bali safety stock, it is very necessary to support the smooth distribution process that takes place. In accordance with the calculations with the formula, there is a safety stock that must be provided by PT. Rajawali Asia Bali is equal to 7,201 boxes. Planning for Sweet Corn products at PT. Rajawali Asia Bali using the EOQ method has 48.069 boxes.

Comparative Inventory Control Analysis With Economic Order Quantity (Eoq) And Just In Time Method To Minimize Inventory Costs At UD.Melati Jaya

The research discusses how To Compare Inventory Control Analysis With Economic Order Quantity (EOQ) Method and Just In Time (JIT) Method To Minimize Inventory Costs At UD. Melati Jaya. This study discusses a comparative analysis of the Economic Order Quantity method and the Just In Time method to minimize inventory costs at UD. Jasmine jaya. The data analysis method used is descriptive qualitative method with comparative research that compares the Econimic Order Quantity (EOQ) method with the Just In Time (JIT) method to the cost efficiency at UD. Melati Jaya. The analysis results from the comparative calculation of inventory control show that the Just In Time Inventory Control method is more appropriate to be applied to Ud. Melati Jaya because the total cost of the inventory is smaller than the total cost of the inventory when using the Economic Order Quantity (EOQ) method.

Analisis Persediaan Karton dengan Metode Economic Order Quantity (EOQ) (Studi Kasus: PT. Asegar Murni Jaya, Minahasa Utara)

Karton merupakan salah satu bahan baku pembantu yang digunakan dalam produksi Air Mineral dalam Kemasan. Menurut beberapa penelitian Metode EOQ digunakan untuk menganalisa persediaan. Tujuan penelitian ini yaitu untuk menentukan jumlah pemesanan ekonomis menggunakan metode Economic Order Quantity (EOQ) dan pengoptimalan biaya yang dapat dilakukan dengan metode EOQ. Penelitian ini dilakukan pada bulan November 2019 hingga Januari 2020 di perusahaan PT. Asegar Murni Jaya. Variabel yang digunakan yaitu frekuensi kebutuhan karton, biaya pemesanan bahan baku dan biaya penyimpanan bahan baku. Hasilnya menunjukkan bahwa pemesanan ekonomis menurut metode EOQ untuk karton dengan biaya optimal sebesar unit untuk periode November 2017 – Oktober 2018 dan unit untuk periode November 2018 – Oktober 2019. Terjadi penghematan dalam biaya persediaan untuk periode November 2017 – Oktober 2018 sebesar dan untuk periode November 2018 – Oktober 2019 sebesar .Kata kunci: Economic Order Quantity; karton; persediaan Carton Inventory Analysis Using the Economic Order Quantity (EOQ) Method (Case Study: PT. Asegar Murni Jaya, Minahasa Utara)ABSTRACTCarton is one of the supporting raw materials used in the production of bottled or glass mineral water. Based on some research, for analyzed inventory will be used Economic Order Quantity (EOQ) Method. The purpose of this research was to determine the amount of economic order using Economic Order Quantity (EOQ). This research was conducted in November 2019 until January 2020 at PT. Asegar Murni Jaya. Variables used i.e the frequency of carton demand, ordering cost and holding cost. The results show that it can be seen that economical order according to EOQ method cartons is pcs for November 2017 – October 2018 periode and for November 2018 – October 2019 periode. There were savings in inventory costs for the period November 2017 - October 2018 amounting to and for the period November 2018 - October 2019 amounting to .Keywords : Carton; Economic Order Quantity; inventory

ANALISIS PERSEDIAAN KEBUTUHAN GALANGAN (PLAT KAPAL) DENGAN METODE EOQ PADA PT PENGERUKAN INDONESIA

Inventory is one of the fundamental problems in a business. Without inventory, a business will be faced with a variety of problems, for example, not having the option to fulfill client orders that lead to loss of client trust, inhibiting interaction creation, etc. Therefore, this study will analyze the management of ship plate inventory at PT Pengerukan Indonesia. There is a technique used to control the supply of stock, namely the"Economic Order Quantity" (EOQ) method. The method used is quantitative by using two types of data, namely primary data and secondary data. The results of this study can produce efficiency of inventory costs where the total stock of uk plate 5mm company as much as 399 sheets and plate uk 12mm 419 sheets and companies make orders as much as 110 times a year. While using the EOQ method the company only orders the purchase of plates as many as 35 times a year with a 10-day message period with a total requirement when ordering as much as 11 pieces for uk 5mm and 12 sheets for uk 12mm and experience cost efficiency of Rp37,280,302. for uk 5mm plates and Rp37,673,245 for uk 12mm plates.

Exploiting Random Lead Times for Significant Inventory Cost Savings

Taking Advantage of the Lead Time Randomness in Supply Chains Randomness in lead times is a major—and increasingly important—issue of inventory management, as a variety of risk factors motivate companies to diversify their supply sources and rely on distributed networks of suppliers. In “Exploiting Random Lead Times for Significant Inventory Cost Savings,” A. Stolyar and Q. Wang show that, surprisingly, instead of being a damaging factor to supply chain performance, randomness may be harnessed for potentially very substantial reductions of inventory costs. Specifically, the theoretical analysis and simulation results in the paper demonstrate that, under certain conditions, appropriately designed novel policies can significantly outperform the conventional base stock policies.

The Effect of Cash Turnover, Account Receivable Turnover and Inventory Turnover on ROA in Mining and Quarrying Sector Companies Listed in IDX From 2017-2019

The mining sector is a manufacturing company sector whose activities consist of extracting, processing and exploiting and selling coal, minerals, metals and natural gas. This research was conducted with the aim to determine whether ROA is affected by cash turnover, accounts receivable turnover and inventory turnover using documentation as a data collection and a method of multiple linear regression analysis through SPSS data processing. The population used is the mining and quarrying sector companies listed on Indonesia Stock Exchange (IDX) from 2017-2019 totaling 43 companies. The purposive sampling method was used in determining the sample which resulted in 33 samples. The research shows that cash turnover, accounts receivable turnover and inventory turnover have no effect on ROA because this is due to a decrease in the amount of production, cash flow constraints due to low turnover of accounts receivable and low sales so that inventory turnover is slow and inventory costs are higher.