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Assignment on Inventory Management

This is an assignment on Inventory Management. This contains problems which may be used in Materials Management, Supply Chain Management or Operations Planning & Control.

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Inventory management concepts and implementations: a systematic review

• South African Journal of Industrial Engineering Vol 33, No 2(2022):15-36
• Vol 33, No 2(2022):15-36

• École Polytechnique Fédérale de Lausanne
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Key Assignment Inventory Spreadsheet Template

• Inventory Templates

The Key Assignment Inventory Spreadsheet Template is used to track and manage inventory in a systematic manner. It helps in keeping a record of all the key items, such as equipment, supplies, products, etc., including their quantities, locations, and other relevant information.

The Key Assignment Inventory Spreadsheet Template is typically filed by the person responsible for managing and tracking the assignment of keys, such as a building or facility manager.

Q: What is a Key Assignment Inventory Spreadsheet Template? A: A Key Assignment Inventory Spreadsheet Template is a pre-designed spreadsheet that helps in keeping track of key assignments and their associated details.

Q: What information can be included in the Key Assignment Inventory Spreadsheet Template? A: The Key Assignment Inventory Spreadsheet Template typically includes fields for the assignment name, description, due date , responsible party , status, and any additional notes.

Q: Are Key Assignment Inventory Spreadsheet Templates customizable? A: Yes, Key Assignment Inventory Spreadsheet Templates can be customized according to your specific needs. You can modify the existing fields, add new columns, or change the formatting to suit your requirements.

Download Key Assignment Inventory Spreadsheet Template

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• NOC:Management of Inventory Systems (Video) 
• Co-ordinated by : IIT Kharagpur
• Available from : 2018-04-26
• Intro Video
• Lecture 01: Introduction to Inventory and Materials Management
• Lecture 02: Introduction to Inventory and Materials Management (Contd.)
• Lecture 03: Introduction to Inventory and Materials Management (Contd.)
• Lecture 04: Introduction to Inventory and Materials Management (Contd.)
• Lecture 5: Introduction to Inventory and Materials Management (Contd.)
• Lecture 6 : Inventory Problems and Selective Inventory Management
• Lecture 7 : Inventory Problems and Selective Inventory Management (Contd.)
• Lecture 8 : Inventory Problems and Selective Inventory Management (Contd.)
• Lecture 9 : Inventory Problems and Selective Inventory Management (Contd.)
• Lecture 10 : Inventory Problems and Selective Inventory Management (Contd.)
• Lecture 11 : Static Inventory Problem under Risk
• Lecture 12 : Static Inventory Problem under Risk (Contd.)
• Lecture 13 : Static Inventory Problem under Risk (Contd.)
• Lecture 14 : Static Inventory Problem under Risk (Contd.)
• Lecture 15 : Static Inventory Problem under Risk (Contd.)
• Lecture 16 : Static Inventory Problems under Uncertainty
• Lecture 17 : Static Inventory Problems under Uncertainty (Contd.)
• Lecture 18 : Static Inventory Problems under Uncertainty (Contd.)
• Lecture 19 : Static Inventory Problems under Uncertainty (Contd.)
• Lecture 20 : Static Inventory Problems under Uncertainty (Contd.)
• Lecture 21: Dynamic Inventory Problems under Certainty
• Lecture 22: Dynamic Inventory Problems under Certainty (Contd.)
• Lecture 23: Dynamic Inventory Problems under Certainty (Contd.)
• Lecture 24: Dynamic Inventory Problems under Certainty (Contd.)
• Lecture 25: Dynamic Inventory Problems under Certainty (Contd.)
• Lecture 26: Dynamic Inventory Problems under Risk
• Lecture 27: Dynamic Inventory Problems under Risk (Contd.)
• Lecture 28: Dynamic Inventory Problems under Risk (Contd.)
• Lecture 29: Dynamic Inventory Problems under Risk (Contd.)
• Lecture 30: Dynamic Inventory Problems under Risk (Contd.)
• Lecture 31 : MRP, MRP-II and DRP
• Lecture 32 : MRP, MRP-II and DRP (Contd.)
• Lecture 33 : MRP, MRP-II and DRP (Contd.)
• Lecture 34 : MRP, MRP-II and DRP (Contd.)
• Lecture 35 : MRP, MRP-II and DRP (Contd.)
• Lecture 36 : JIT-based Approaches for Materials Management
• Lecture 37 : JIT-based Approaches for Materials Management (Contd.)
• Lecture 38 : JIT-based Approaches for Materials Management (Contd.)
• Lecture 39 : JIT-based Approaches for Materials Management (Contd.)
• Lecture 40 : JIT-based Approaches for Materials Management (Contd.)
• Lecture 41: Basics of Purchasing Management
• Lecture 42: Basics of Purchasing Management (Contd.)
• Lecture 43: Basics of Purchasing Management (Contd.)
• Lecture 44: Basics of Purchasing Management (Contd.)
• Lecture 45: Basics of Purchasing Management (Contd.)
• Lecture 46 : Theory of Constraints and Materials Management
• Lecture 47 : Theory of Constraints and Materials Management (Contd.)
• Lecture 48 : Theory of Constraints and Materials Management (Contd.)
• Lecture 49 : Theory of Constraints and Materials Management (Contd.)
• Lecture 50 : Theory of Constraints and Materials Management (Contd.)
• Lecture 51 : Value Engineering/Analysis and Stores Management
• Lecture 52 : Value Engineering/Analysis and Stores Management (Contd.)
• Lecture 53 : Value Engineering/Analysis and Stores Management (Contd.)
• Lecture 54 : Value Engineering/Analysis and Stores Management (Contd.)
• Lecture 55 : Value Engineering/Analysis and Stores Management (Contd.)
• Lecture 56 : Logistics and Supply Chain Management
• Lecture 57 : Logistics and Supply Chain Management (Contd.)
• Lecture 58 : Logistics and Supply Chain Management (Contd.)
• Lecture 59 : Logistics and Supply Chain Management (Contd.)
• Lecture 60 : Logistics and Supply Chain Management (Contd.)
• Live Session 13-03-2020
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Course info.

• Prof. Stephen Graves

Departments

• Sloan School of Management
• Edgerton Center

As Taught In

• Supply Chain Management
• The Developing World

Learning Resource Types

D-lab: supply chains, problem set 3 - inventory models.

This file contains information regarding problem set 3 - inventory models.

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FIJI: REMOTE SENSING-GIS CONSULTANT TO SUPPORT THE RAPID INVENTORY ASSESSMENT

Introduction to gggi.

The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI  web page. 

GENERAL INFORMATION

• Project: Fiji bamboo to adapt and mitigate climate change
• Duty Station: Colo-i-Suva Forestry station – Geographic Information Systems (GIS) Unit, Forest Resource Assessment and Conservation and REDD+ (FRAC) Division
• Contract Duration: September 2024-February 2025  
• Number of Workdays Estimated:  120
• Consultant Level: Level 3
• Total Fees: USD 15,720

PROJECT BACKGROUND

The Fiji Bamboo to Adapt to and Mitigate Climate Change project aims to support the sustainable and inclusive production and use of bamboo as a resilient, sustainable and cost-effective construction material in Fiji that can be used to help increase the supply of affordable, resilient and accessible buildings in Fiji while also economically empowering women and other marginalized groups in Fiji, who are expected to play a key role in both the sustainable production and use of bamboo as a construction material. The project is being implemented by Global Green Growth Institute (GGGI) with a coalition of Government and Non-Government partners both locally and internationally, and is supported by the New Zealand Ministry of Foreign Affairs and Trade (NZ MFAT) under the Low Emissions and Climate Resilient Development (LECRD) Phase 2 Pacific regional program

The project aims to create an evidence-based and an enabling environment (the local capacity and policy environment) that will support and encourage:

• the use of locally grown bamboo as a cost-effective, sustainable and resilient construction material;
• the adoption of environmentally sustainable (or even regenerative), socially inclusive and economically viable methods for cultivating, harvesting, treating and processing bamboo (for use in construction); and
• women and other marginalized groups to seize the economic opportunities that are expected to arise from the development of a new green and sustainable bamboo industry in Fiji.

One of the important steps in building the evidence base is to estimate the amount of bamboo that can be sustainably produced and harvested to meet future demand in Fiji.  To help estimate this, GGGI is collaborating with the Fiji Ministry of Forestry to conduct a lean rapid inventory assessment of the bamboo stock using a combination of field verification methods and remote sensing tools in 3 or 4 selected provinces in Fiji’s Viti Levu.  This assessment will seek to identify the quantity, age and species of bamboo growing in different locations, along with any other relevant information about the bamboo.  

The findings from this inventory assessment are expected to be sufficient to estimate the existing bamboo stock throughout the whole of Fiji and will guide the development of appropriate policies and regulations that will enable and encourage the sustainable production and harvesting of bamboo in Fiji.  In turn, it will also support the development of bamboo as a viable, lower cost and environmentally friendly alternative to conventional construction materials and is expected to create significant new green business and employment opportunities, including for women, youth and for the poor living in rural and remote areas of Fiji.  

OBJECTIVES OF THE ASSIGNMENT

The objective of the assignment is to support and work in collaboration with the Fiji Ministry of Forestry, Forest Resource Assessment, Conservation and REDD+ (FRAC) Division to estimate the amount of bamboo that can be sustainably produced and harvested in Fiji to meet future demand by:

• conducting an inventory mapping of bamboo in at least 3 provinces in Viti Levu;
• scientifically extrapolating the findings from the inventory mapping exercise to estimate existing bamboo stock in Fijian forests; and
• using information on the availability of suitable land for growing bamboo, to estimate the amount of bamboo that could potentially be sustainably produced and harvested in Fiji in the future.

SCOPE OF WORK

To meet the objectives of this assignment GGGI is aiming to hire a Remote Sensing-GIS consultant. The consultant is required to work in close collaboration with the Fiji Ministry of Forestry, Forest Resource Assessment and Conservation (FRAC) Division to:

• develop an inventory map of the bamboo stock in the selected 3 provinces in Viti Levu using appropriate tools. This will include mapping the coordinate of the bamboo stands, and in collaboration with forestry officials carrying out ground truthing for confirmation;
• develop an inventory report of the bamboo stock in the selected 3 provinces in Viti Levu by species;
• develop a scientific estimate of bamboo stock throughout Fiji’s natural forests;
• develop a report on the scientific estimate of the amount of bamboo that can be potentially grown in Fiji through sustainable practices;
• report progress on a day-to-day basis to a supervisor from the Fiji Ministry of Forestry; and
• assist the supervisor in any other tasks assigned by the project supervisor related to the bamboo inventory work.

DELIVERABLES AND PAYMENT SCHEDULE

Note - No travel expenses will be covered by GGGI for the execution of the consultancy.

[Reporting Arrangements]

The consultant’s work progress will be monitored primarily through periodic review meetings for planning, and short meetings for prioritizing activities, in consensus with the contract supervisor at FRAC Division and GGGI. The review meetings will include subjects such as: the overview of the contractual objectives, the development of activities, detailed information milestones, actual achievements made against the timeline initially set, and any other relevant progress details.

Supervision shall be provided by FRAC Division with the support of the GGGI Fiji office, to ensure the timely and quality delivery of outputs outlined in the contractual objective. The final review and approval of activities and deliverables under the contract is to be made by the Project Steering Committee (PSC) of the Fiji Bamboo project in collaboration with the GGGI project team.

[Reporting Requirements]

• The Consultant shall submit the Final Report which should reflect the outcome of all activities prepared by the consultant. The report should also give recommendations for further activities to be carried out in order to secure a long-term sustainable development of the measure
• All relevant technical data, shape files, reports, bamboo species distribution maps, and other documents prepared from the start to the end of the assignment shall be attached to the Final Report.
• All outputs must be in English, in accordance with GGGI’s formatting requirements and editable format that is readable by a Microsoft Office application. Where relevant, the consultant shall also provide sets of raw data, research materials, and meeting notes related to the contractual objective.
• The final report must be approved by the GGGI with the agreement of the PSC. The Consultant shall consider the comments and necessary revisions proposed. Within 14 days from the receipt of the comments or modification proposal from the GGGI, the Consultant shall prepare and submit the final versions of the report          

EXPERTISE REQUIRED

The consultant shall have the following educational qualifications, experience and competencies:  

• (MANDATORY) A University degree with at least 5 years of relevant experience in GIS & Remote Sensing, and/or Forest Inventory, database programming languages and Natural Resource Management (the consultant to be along the lines of these backgrounds; GIS programmer (R, Python) or analyst)
• Experience in remote sensing and GIS, spectral signatures, mapping and map reading, handling of GPS, forest inventory mapping tools, modeling and forest assessment tools is a must
• Prior working knowledge of computer mapping software tools such as ERDAS/ER Mapper, ArcGIS and QGIS is a must
• Prior experience of forest resource assessment and mapping, compiling forest data is an asset
• The consultant should be comfortable with fieldwork and camping out in the forest as it might be required for the consultant to join the inventory team during some field inventory work.
• Full command of Microsoft applications (word, excel, PowerPoint) and common internet applications will be required.
• Report writing skills are a must
• Exceptional analytical and quantitative skills; capacity for synthesis, presentation, and communication; and strategic thinking skills.
• Organized with excellent time management and attention to detail.
• Strong and mature interpersonal skills, problem solver, adapts with optimism to unforeseeable change and proven ability to work with teams.
• Fluency in English and local language is desired.
• Prior experience in working in the Pacific region in a similar assignment will be an asset. 

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Date to close is Korean Standard Time (KST). Applications submitted after the deadline will not be considered Application. Cover Letter, and CV must be sent in English. A consortium, or a firm may not be engaged for the individual consultant assignment.

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