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The goal of many research efforts cognate to supply chain management is to propose mechanisms to reduce operational costs. Inventory holding and conveyance costs are regarded as the most paramount operational costs in inventory management. Many researches in supply chain management only consider the inventory cost as a criterion to decide replenishment policy. In the replenishment process, in juxtaposition of the inventory cost, the conveyance cost is a major cost factor which affects the shipment size. Thus in this research work the conveyance cost is additionally considered to minimize the inventory cost. Two models are studied: when the retailers make decisions independently i.e. Decentralized decision model and when the retailers are branches of the same firm i.e. Centralized decision model to determine the best solution to minimize costs.
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In all industrial firms where a large number of parts and components are supplied by different suppliers to the raw materiel stores. So it is necessary to keep a track of their performances and supplier ratings individually. The shortages of many basic raw materials and unfriendly attitudes on the part of suppliers can seriously jeopardize production units. So supplier evaluation comes a necessary task. The supplier selection in the supply chain is a multi-criteria problem for this a problem is formulated. The formulated problem is including three primary objectives such as minimizing the net purchase cost, minimizing the net transportation cost and minimizing the net late deliveries subject to realistic constraints regarding buyer’s demand, vendor’s capacity, budget allocation to individual vendor, Vendor’s quality of the items, vendor’s quota flexibility, purchase value of items etc. This paper consists of allocating the quota to suppliers from a set of pre-selected candidates. In this paper the Lexicographic Method is used and solved above three objectives on the priority basis. A real life example is also presented and solved by the MATLAB and results are shown in the paper.
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Facility Location Problem
Facility Location Problem
CREW SCHEDULING
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AGGREGATE PLANNING MODELS FOR FIELD SERVICE DELIVERY
AGGREGATE PLANNING MODELS FOR FIELD SERVICE DELIVERY
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Future of Trade 2024 - Decoupled and Reconfigured - Snapshot Report
Future of Trade 2024 - Decoupled and Reconfigured - Snapshot Report
Dubai Multi Commodity Centre
1. EXECUTIVE SUMMARY There are around 8 Tonne to 10 Tonnes of Slaughterhouse waste produced daily in the slaughter houses which perform slaughtering and dressing in limits of MYSORE Municipal Corporation. Slaughterhouse waste need significant treatment for a sustainable and safe discharge to the environment due tothe high content of organics and nutrients. Therefore, the treatment and final disposal of Slaughterhouse waste are a public health necessity. Slaughterhouse waste has become a major source of pollution in the State of Karnataka. Meat processing effluents are becoming one of the major agribusinesses concerns due to the vast amount of water used during slaughtering, processing, and cleaning of the slaughtering facilities. Slaughterhouse waste management system is very poor and several measures are being taken for the effective management of wastes generated. There are hardly any chicken stalls in the state with their own waste management systems. Scientific disposal of such waste is quite expensive and is the reason why they cannot have their own waste management system. Presently the stall owners pay people to have the waste dumped intorivers, streams, roads side etc. There are groups of people engaged in this activity. a. LAWS Slaughterhouse without waste management system will not be issued license as per the new food safety standard Act. Hotels are not permitted to buy meat from unlicensed stalls. In such a situation, a number of slaughterhouse will have to shut their shops. To avoid this, centralised poultry waste management system is the only solution. Dry rendering plants (Dehydration System) for every district will be a proper solution. b. DEHYDRATION SYSTEM The waste including the feathers undergoes process of hydrolysis by which it is cooked and broken down. Being processed under high pressure and at high temperature renders the waste free of any microbes. Cyclone separator, condenser, scrubber, ETP (Effluent treatment plant), Bio filter and chimney ensure that there is no environmental pollution. The processing of a batch takes about 4 to 5 hours and 4 such batches can be processed per day totalling to 15 Tonnes waste can be processed per day. 2. COMPANY PROFILE AND QUALIFICATIONS Company Name SLICE UP ORGANIC PRODUCT PVT LTD. Company Category Company limited by Shares Company Sub Category Non-govt company Date of Incorporation 20-11-2021 Registered Address SLICE UP ORGANIC PRODUCT PVT LTD.. Muttil North, Wayanad. ABOUT US We started our journey in the field of Rendering plant focused on poultry rendering plants since 2021 as a Private Limited Company. As of now we had supplied poultry meal to almost many companies all over India. Company is running 2 rendering plants at Wayanad and Kollam . Qualifications of the Company 1. Our Company and its teams are experienced in the field of Installation, Maintenance, Running of the Rendering Unit. 2. Our Company Slice Up Organic Product PVT LTD is an Innovator who strives to int
A BUSINESS PROPOSAL FOR SLAUGHTER HOUSE WASTE MANAGEMENT IN MYSORE MUNICIPAL ...
A BUSINESS PROPOSAL FOR SLAUGHTER HOUSE WASTE MANAGEMENT IN MYSORE MUNICIPAL ...
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All the new employee's of the NETAPS Foundation are suggested to must fill out and submit the goal setting form- Step2: Fill out and submit the Power Point Presentation-as per the Goal Setting Forma; also, add, 1st Month, 2nd Month, 3rd Month; 2nd, 3rd and 4th Quarter self and teams expected minimum result in the terms of the Admission and Placement. In this presentation -clearly mention the minimum goal -that you can deliver.
Goal Presentation_NEW EMPLOYEE_NETAPS FOUNDATION.pptx
Goal Presentation_NEW EMPLOYEE_NETAPS FOUNDATION.pptx
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Excited to share the Vol.007_May 13th, 2024 of 'The Vietnam Believer' newsletter series on LinkedIn weekly showcasing notable news on Vietnam's development in key sectors.
The Vietnam Believer Newsletter_May 13th, 2024_ENVol. 007.pdf
The Vietnam Believer Newsletter_May 13th, 2024_ENVol. 007.pdf
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hyundai capital 2023 consolidated financial statements
hyundai capital 2023 consolidated financial statements
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Most Visionary Leaders in Cloud Revolution, Shaping Tech’s Next Era - 2024 (2...
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Building Moonshots In today's rapidly evolving world, many industries have experienced disruption or are on the cusp of one. While organisations often discuss the importance of innovation and disruption for growth, it's not uncommon to find ourselves defaulting to familiar patterns and maintaining the status quo. To thrive amidst this change, businesses of all sizes must adopt strategic foresight not as an option but as an essential strategy. Developing strategic foresight enables organizations to anticipate and proactively respond to future challenges, ensuring they remain adaptable and resilient in an ever-changing landscape. By moving beyond "business as usual" thinking and embracing innovative approaches, companies can position themselves for long-term success.
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wagamamaLab presentation @MIT 20240509 IRODORI
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Supply Chain Management
1.
SUPPLY CHAIN MANAGEMENT
K. Özcan ATILGAN Erhan GÜL M. Onur ŞENARAS
2.
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supplier inventory supplier
supplier inventory customer customer customer inventory inventory manufacturer distributor
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Supply Network Management
System * Supply network design optimization module * Production and distribution planning module * Model management module * Data management module
12.
Supply Network Design
Problem
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K (PLANT) J
(WAREHOUSE) İ (CUSTOMERS)
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Model: distribution Objective
function:
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Model: distribution Constraints
:
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24.
FABRİKA 1 FABRİKA
2 DEPO 1 DEPO 2 DEPO 3
25.
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27.
28.
29.
30.
SOLUTIONS 2.0 1200
X( 2, 3) 3.0 1000 X( 1, 1) Reduced Cost Value Variable
31.
SOLUTIONS 1900 0
Z( 2) 1700 1 Z( 1) 2000 1 Z( 3) Reduced Cost Value Variable
32.
SOLUTIONS Reduced Cost
Value Variable 3200 0 P( 2) 2600 1 P( 1)
33.
34.
1000 1200 1000
1200 FABRİKA 1 FABRİKA 2 DEPO 1 DEPO 2 DEPO 3
35.
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