scholarly journals Energy Implications of Lot Sizing Decisions in Refrigerated Warehouses

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1739
Author(s):  
Beatrice Marchi ◽  
Simone Zanoni ◽  
Mohamad Y. Jaber
Keyword(s):  
Inventory Management ◽  
Energy Efficient ◽  
Lot Sizing ◽  
Performance Measure ◽  
Total System ◽  
Order Quantity ◽  
Lot Size ◽  
Surrounding Environment ◽  
Perishable Goods

Cold supply chains (CSCs) are responsible for preserving the quality of perishable goods in storage and transport. They consume significant amounts of energy to maintain cooling temperatures constant over time continuously and ubiquitously, which is affected by the surrounding environment and the users’ behavior. The storage filling level is one specific feature of refrigerated warehouses observed in practice: they are more energy efficient when kept full of items, reducing the space that air occupies. Inventory management models that consider energy consumption have received increasing attention recently due to an increase in stakeholders’ awareness of sustainability. Despite this interest, there is no work that jointly considers the effects of the filling level and the temperature inside the warehouse. This study, therefore, integrates those aspects into the economic order quantity model and finds the optimal lot size quantity that minimizes the total system cost, which is the performance measure used herein. It provides numerical results and brings some insights into the behavior of the model proposed.

scholarly journals MATERIAL REQUIREMENT PLANNING UNTUK MEMENUHI PRODUKSI PADA CV. BANGUN CIPTA ARTHA DI BADUNG

2020 ◽  
Vol 9 (2) ◽  
pp. 426
Author(s):  
I Made Sugita Yasa ◽  
Kastawan Mandala
Keyword(s):  
Inventory Management ◽  
Lot Sizing ◽  
Raw Materials ◽  
Raw Material ◽  
Exact Order ◽  
Lot Size ◽  
Inventory Costs ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Total Inventory

Inventory management without Material Requirement systems in CV. Bangun Cipta Artha resulted in the lot size for each order of raw materials not optimal. One concept that can be used to plan and control raw materials is the Material Requirement Planning. This study is to determine the number of sizes of raw material orders, the exact order time, the method that produces the lowest cost for each raw material, and the effect of using MRP on inventory costs. This research conducted on 160x200cm spring bed products. Data was analyzed by making production master schedules, determining net requirements, determining lot size, and making MRP tables. Based on the results, the determination the best lot sizing is the order quantiy period which results in a total inventory cost of Rp. 26,475,220 where the total cost is lower, compared to lot for lot method which Rp. 43,464,000. part period balancing Rp. 33,106,576, and conventional method Rp.49,472,912. Keywords: Material Requirement Planning (MRP), Sizing Lot, Lot For Lot, Balancing Part Period, Period Order Quantiy

scholarly journals Optimalisasi Sistem Persediaan Bahan Baku Karet Mentah (Lateks) dengan Metode Lot Sizing (Studi Kasus: PT Abaisiat Raya)

2016 ◽  
Vol 12 (1) ◽  
pp. 317 ◽  
Author(s):  
Dina Rahmayanti ◽  
Ahmad Fauzan
Keyword(s):  
Inventory Management ◽  
Lot Sizing ◽  
Demand Forecasting ◽  
Crumb Rubber ◽  
Optimal Size ◽  
Lot Size ◽  
Planning Period ◽  
Safety Stock ◽  
Reorder Point

PT Abaisiat Raya is one of the manufacturers of rubber crumb (crumb rubber) in the city of Padang. Latex inventory management system at PT Abaisiat Kingdom basically signinfikan still need improvement. It is based on the planning activities in the warehouse inventory of raw materials firms irregular, thus causing excess stock (over stock) at a time and shortage of stock (stock out) at other times. Process optimization is done with latex inventory system involving factors such as demand forecasting production planning or latex needs during the period of next 12 (in 2012), the costs involved, the waiting time (lead time), the implementation of forecasting methods, determination of size lots (lot sizing), the determination of safety stock (safety stock), and re-ordering time (reorder point), so the output will get a number of requests are for 12 periods ahead, the size of each reservation period, the total cost is required, when re-ordering will be done , as well as how much inventory to latex in the warehouse. Based on these results, it was found that the optimal size of the book is the same as the demand for each period (reservation is made each period) due to a cyclical pattern of demand and decreases throughout the planning period. Value of the stock or safety stock is located in Kg 114,282.20, and re-ordering time (reorder point) to cope with fluctuations do when the stock has reached a level of 333,130.95 kg.Keywords: Forecasting, Time Wait, Lot Size, Safety Supplies, Reorder

scholarly journals Designing Student Apartments With Green Building Concept on Ismail Harun Street

2020 ◽  
Vol 4 (1) ◽  
pp. 75-86
Author(s):  
Dwira Nirfalini Aulia ◽  
Nida Andini Putri Tanjung
Keyword(s):  
Indoor Air ◽  
Energy Efficient ◽  
Smart Growth ◽  
Environmentally Friendly ◽  
Green Building ◽  
Human Waste ◽  
Surrounding Environment ◽  
Electricity Use ◽  
Air Circulation

Apartments with green building concept are vertical dwellings that are built using the basic rules of green building namely energy efficiency and renewable energy, efficient use of air, use of environmentally friendly materials, use of waste and materials, improvement of good indoor air circulation, and sustainable development and smart growth. This concept is used as a fulfillment of housing needs for students around Universitas Negeri Medan, which is environmentally friendly. The concept of green building is expected to reduce household pollution generated from student apartments, which can reduce the quality of the surrounding environment and also reduce the costs of maintenance and operation of the apartment, which can have an impact on the quality of resident’s life. In the process of designing this apartment, the writer uses a quantitative-correlative approach to find what is needed by the apartment user. The process of designing an apartment with this concept will produce an environmentally friendly building that can save water use up to 53.28%. This student apartment is equipped with a solar power plant that can save PLN electricity use by up to 33%. Each apartment unit and room in the management office is also designed with natural light and natural air circulation in mind to reduce the use of electricity and air conditioning. This apartment also utilizes human waste by processing it into biogas using dome reactors.

scholarly journals Implementation of inventory management in footwear industry

2021 ◽  
Vol 14 (2) ◽  
pp. 360
Author(s):  
Jeferson Conceição ◽  
José De Souza ◽  
Elton Gimenez Rossini ◽  
Alfonso Risso ◽  
Alexandre Beluco
Keyword(s):  
Inventory Management ◽  
Demand Forecasting ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Lot Size ◽  
Safety Stock ◽  
Forecasting Method ◽  
Abc Analysis ◽  
The Moment

Purpose: The objective of this research was to implement new inventory management in a footwear company through the analysis of indicators obtained from inventory data collection.Design/methodology/approach: The methods of ABC analysis, demand forecasting, safety stock, reorder point and economic order quantity were applied. The items in inventory were classified by order of financial importance through ABC analysis, and the proposed indicators were analyzed to determine the moment the inventory replenishment should be carried out as well as the purchase lot size for each item. The research also analyzed the behavior of the demand and pointed out the demand forecasting method that came closest to reality.Findings: The study presents a method of implementing inventory management based on indicators derived from the application of ABC curve methods, demand forecasting, safety stock, re-fulfillment point, and economic purchased lot. It also indicates how the ABC classification of stocks can be used to check the most representative materials in stock. The study also highlights that the rejection of modifications can be surpassed by obtaining favorable results.Research limitations/implications: The inventory management applied in this work is based on indicators that resulted in two main data which were able to define the size of the purchase lot to be ordered and the amount of material needed.Practical implications: The methods of ABC analysis, demand forecasting, safety stock, reorder point and economic order quantity were applied. The items in inventory were classified by order of financial importance through ABC analysis, and the proposed indicators were analyzed to determine the moment the inventory replenishment should be carried out as well as the purchase lot size for each item. The research also analyzed the behavior of the demand and pointed out the demand forecasting method that came closest to reality.Originality/value: In this study, a method applied is presented, highlighting the importance of the methodological application for the implementation of inventory management. The study contributes to the encouragement and adoption of methodologies to improve analysis and inventory management in companies.

scholarly journals Optimalisasi Persediaan Bahan Baku Atap Spandex dengan Metode Q

2021 ◽  
Vol 23 (1) ◽  
pp. 1-8
Author(s):  
Indah Rizkya ◽  
Fernando
Keyword(s):  
Production Process ◽  
Inventory Management ◽  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Order Quantity ◽  
Inventory Cost ◽  
Safety Stock ◽  
Total Inventory

Inventory management is one of the most important aspects in light steel construction business activities. The application of inventory management affects the continuity of the production process and improves the quality of service to consumers. Inventory is defined as an asset which includes goods owned by the company and has the potential to be sold within a certain business period in an effort to meet consumer needs at any time. Galvalume raw material inventory for the spandex roof production process often suffers from shortages due to immature planning. The shortage of inventory causes production not to run smoothly. The purpose of inventory management in this paper is to obtain an inventory policy to optimize the total inventory cost. The method used in this study is economic order quantity. Based on the results and discussion. Ordering raw materials will be made 6 times in a year with an order quantity of 116 with a safety stock of 12 units and will be ordered again when the raw materials are in 46 units. Total Inventory Cost (TIC) which was originally IDR 26.350.191,- can be saved to IDR 21.038.827,- so that the total savings that occurred amounted to IDR 5.311.364,- (20,15%).

ANALISIS PENERAPAN MATERIAL REQUIREMENT PLANNING (MRP) DENGAN MEMPERTIMBANGKAN LOT SIZING

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Suparno Suparno
Keyword(s):  
Lot Sizing ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Lot Size ◽  
Material Requirement Planning ◽  
Material Requirement

CV. restu Ibu merupakan salah satu industri furniture di Kabupaten Gresik yang mengolah kayu jati menjadi aneka meubel. Meubel yang diproduksi adalah pintu, meja, kursi, almari dan kusen. Sistem pengendalian bahan baku yang tidak terstruktur menjadi permasalahan yang dihadapi oleh perusahaan. Metode yang digunakan perusahaan saat ini dalam pengelolaan bahan baku hanya menggunakan perhitungan konvensional tanpa melakukan suatu peramalan atau perencanaan yang baik. Penelitian ini bertujuan untuk menentukan metode Lot Sizing yang efektif diterapkan perusahaan dalam perencanaan bahan baku untuk mengetahui perbandingan total persediaan. Metode yang digunakan dalam penelitian ini adalah Material Requirement Planning (MRP). Metode Material Requirement Planning(MRP) digunakan dengan menggunakan dua metode Lot Sizing yang berbeda yaitu metode Lot For Lot dan Lot Economic Order Quantity. Hasil penelitian menunjukkan bahwa metode peramalan dekomposisi merupakan metode peramalan yang memiliki tingkat kesalahan peramalan terkecil yaitu dengan nilai MSD produk pintu 23.1989,kursi 33.4377, almari 23.0874, meja 23.0874, dan kusen 12.4765.  Perencanaan kebutuhan bahan baku yang dibuat berdasarkan hasil peramalan permintaan produk di CV. Restu Ibu menunjukkan teknik Lot Size terbaik adalah Lot For Lot. Teknik Lot For Lotmenghasilkan biaya persediaan terendah sebesar Rp2,563,992dibandingkan dengan teknik Lot Economic Order Quantity yang menghasilkan biaya sebesar Rp3,169,394.

MINIMALISASI BIAYA SIMPAN DAN BIAYA SETUP PADA MULTIPLE PRODUK: SIMULASI DENGAN CAPACITATED LOT SIZING PROBLEM

2019 ◽  
Vol 4 (2) ◽  
pp. 205-214
Author(s):  
Erika Fatma
Keyword(s):  
Production Cost ◽  
Lot Sizing ◽  
Setup Time ◽  
Production Costs ◽  
Total Production ◽  
Product Cycle ◽  
Lot Size ◽  
Setup Costs ◽  
Lot Sizing Problem ◽  
Capacitated Lot Sizing

Lot sizing problem in production planning aims to optimize production costs (processing, setup and holding cost) by fulfilling demand and resources capacity costraint. The Capacitated Lot sizing Problem (CLSP) model aims to balance the setup costs and inventory costs to obtain optimal total costs. The object of this study was a plastic component manufacturing company. This study use CLSP model, considering process costs, holding costs and setup costs, by calculating product cycle and setup time. The constraint of this model is the production time capacity and the storage capacity of the finished product. CLSP can reduce the total production cost by 4.05% and can reduce setup time by 46.75%.  Keyword: Lot size, CLSP, Total production cost.

Analysis of Inventory Management in Reverse Supply Chain Using Stochastic Dynamic Programming Model

2008 ◽  
Author(s):  
Badr O. Johar ◽  
Surendra M. Gupta
Keyword(s):  
Dynamic Programming ◽  
Inventory Management ◽  
Reverse Logistics ◽  
Stochastic Dynamic Programming ◽  
Public Awareness ◽  
Financial Burden ◽  
Probabilistic Approach ◽  
Complex Nature ◽  
Stochastic Dynamic

Reverse logistics is a critical topic that has captured the attention of government, private entities and researchers in recent years. This increase in the concern was driven by current set of government regulations, increase of public awareness, and the attractive economic opportunities. Also, environmentalists have always demanded Original Equipment Manufacturers (OEMs) to be more involved and be responsible of their products at the end of its life cycle. However, the uncertainty in quality of items returned, and its quantity discourage OEMs from participating in such programs. Because of the unique problems associated and the complex nature of the reverse logistics activities, numerous studies have been carried out in this field. One of those crucial areas is inventory management of End-of-Life (EOL) products. The take back program could possibly bring financial burden to OEM if it is not managed well. Thus, an efficient yet cost effective system should be implemented to appropriately manage the overwhelming number of returns. Previously, we have analyzed the problem based on the assumption that the number of core products returned and disassembled parts and subassemblies are known in advance. In this paper, we introduce a probabilistic approach where different quality levels of for every component disassembled are considered and different probabilities of these qualities given the quality of the returned product. The model utilizes a multi-period stochastic dynamic programming in a disassembly line context to solve the problem, and generate the best option that will maximize the system total profit. A numerical example is given to illustrate the approach. Finally, directions for future research are suggested.

Residential Environmental Preferences and Choice: Empirically Validating Preference Measures

1972 ◽  
Vol 4 (4) ◽  
pp. 445-458 ◽  
Author(s):  
M Menchik
Keyword(s):  
Natural Environment ◽  
Residential Choice ◽  
Lot Size ◽  
Environmental Preferences ◽  
Residential Preferences ◽  
Suburban Sprawl ◽  
Market Choice ◽  
Residential Characteristics ◽  
Spread Pattern

In order to evaluate demands for new forms of residential environments (such as cluster development rather than the spread pattern of suburban sprawl), it may be useful to deal with persons' residential preferences directly, rather than their market choice. The paper develops residential environmental preference variables from questionnaire survey data. The preferences may be considered as relative tradeoffs among the residence's accessibility, characteristics of the house and lot (for example, lot size), the quality of the natural environment, and characteristics of the non-natural environment (for example, population density). At the same time, comparable measures are devised of the characteristics of the persons' present residences—their residential choice. Principal results are that the preference and choice variables do seem useful; that preferences, thus defined, do express themselves to some extent through market choice; and that different persons do in fact prefer different residential characteristics. Preferences for different residential characteristics tend to be negatively associated, so that there are persons with strong preferences for the natural environment who are willing to sacrifice a large lot to live in a beautiful area.

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