3. Producers

2014 ◽  
pp. 28-49
Author(s):  
Avinash Dixit
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Pricing Strategies ◽  
Firm Organization

‘Producers’ addresses production, an activity that transforms inputs (raw materials and other produced goods, as well as services of labour, land, and capital) into outputs. Producers must pay attention to the costs of these inputs — the prices of inputs that are used up, as well as wages, rents, and costs of capital — which involves judgement about uncertain prospects. Supply curves, pricing strategies, rivalry between firms, supply chains, and firm organization are considered. Firms buy some inputs to their production from other firms and make some inputs in-house. The choice is theirs. But why not produce each link of the supply chain in a separate firm? Or why not make everything in-house?

Genetic Algorithm to Solve Multi-Period, Multi-Product, Bi-Echelon Supply Chain Network Design Problem

2009 ◽  
Vol 2 (4) ◽  
pp. 24-42 ◽  
Author(s):  
R. Dhanalakshmi ◽  
P. Parthiban ◽  
K. Ganesh ◽  
T. Arunkumar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Optimization Techniques ◽  
Network Design Problem ◽  
Production Plant ◽  
Two Stage ◽  
Cost Structures ◽  
Multi Stage ◽  
Product Costs

In many multi-stage manufacturing supply chains, transportation related costs are a significant portion of final product costs. It is often crucial for successful decision making approaches in multi-stage manufacturing supply chains to explicitly account for non-linear transportation costs. In this article, we have explored this problem by considering a Two-Stage Production-Transportation (TSPT). A two-stage supply chain that faces a deterministic stream of external demands for a single product is considered. A finite supply of raw materials, and finite production at stage one has been assumed. Items are manufactured at stage one and transported to stage two, where the storage capacity of the warehouses is limited. Packaging is completed at stage two (that is, value is added to each item, but no new items are created), and the finished goods inventories are stored which is used to meet the final demand of customers. During each period, the optimized production levels in stage one, as well as transportation levels between stage one and stage two and routing structure from the production plant to warehouses and then to customers, must be determined. The authors consider “different cost structures,” for both manufacturing and transportation. This TSPT model with capacity constraint at both stages is optimized using Genetic Algorithms (GA) and the results obtained are compared with the results of other optimization techniques of complete enumeration, LINDO, and CPLEX.

scholarly journals Only as Strong as the Weakest Link

2011 ◽  
Vol 133 (06) ◽  
pp. 26-31 ◽  
Author(s):  
James B. Rice
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Risk Monitoring ◽  
Weakest Link ◽  
Internal Operations ◽  
Supplier Risk ◽  
Simulation Exercises

This article discusses why companies need to shore up their supply chains to guard against disasters. Supply chains, which provide raw materials and distribute finished goods to end customers, now extend through many independent companies, and nearly every chain is global. As a consequence, major events from around the world, both natural and man-made, affect the flow of goods and have an increasingly sharp and visibly evident impact on businesses. It is therefore essential that companies identify their entire upstream supply chain—not just their tier-one suppliers but all suppliers and subsuppliers . They should try to understand their downstream customers and intermediaries as well. Businesses also need to conduct a vulnerability assessment for their extended supply chain, not just internal operations. This includes assessing geographic risk, organizational risk, embedded risk, and supplier risk. Organizations should also develop a plan to create a culture that supports supply chain risk management, including active risk monitoring, education, training, and simulation exercises.

scholarly journals Reinforcing the Supply Chain of Umifenovir and Other Antiviral Drugs with Retrosynthetic Software

2021 ◽  
Author(s):  
Yingfu Lin ◽  
Zirong Zhang ◽  
Babak Mahjour ◽  
Di Wang ◽  
Rui Zhang ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Antiviral Drug ◽  
Drug Repurposing ◽  
Antiviral Drugs ◽  
Multiple Drug ◽  
General Strategy ◽  
Inflammatory Drugs ◽  
Anti Inflammatory

Abstract The global disruption caused by the 2020 coronavirus pandemic stressed the supply chain of many products, including pharmaceuticals. Multiple drug repurposing studies for COVID-19 are now underway. If a winning therapeutic emerges, it is unlikely that the existing inventory of the medicine, or even the chemical raw materials needed to synthesize it, will be available in the quantities required. We used retrosynthetic software to arrive at alternate chemical supply chains for the antiviral drug umifenovir, as well as eleven other antiviral and anti-inflammatory drugs. We have experimentally validated four routes to umifenovir and one route to bromhexine. In several instances, the software utilizes C–H functionalization logic, and one route to umifenovir employs functionalization of six C–H bonds. The general strategy we apply can be used to identify distinct starting materials, and relieve stress on existing supply chains.

scholarly journals Reinforcing the Supply Chain of COVID-19 Therapeutics with Expert-Coded Retrosynthetic Software

2020 ◽  
Author(s):  
Yingfu Lin ◽  
Zirong Zhang ◽  
babak mahjour ◽  
di wang ◽  
rui zhang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
General Solution ◽  
Supply Chains ◽  
Raw Materials ◽  
Drug Repurposing ◽  
Hand Sanitizer ◽  
Toilet Paper ◽  
Global Demand

Supply chains become stressed when demand for essential products increases rapidly in times of crisis. This year, the scourge of coronavirus highlighted the fragility of diverse supply chains, affecting the world’s pipeline of hand sanitizer, 1 toilet paper,2 and pharmaceutical starting materials. 3 Many drug repurposing studies are now underway. 4 If a winning therapeutic emerges, it is unlikely that the existing inventory of the medicine, or even the chemical raw materials needed to synthesize it,5 will be available in the quantities required to satisfy global demand. We show the use of a retrosynthetic artificial intelligence (AI) 6-10 to navigate multiple parallel synthetic sequences, and arrive at plausible alternate reagent supply chains for twelve investigational COVID-19 therapeutics. In many instances, the AI utilizes C–H functionalization logic, 11-13 and we have experimentally validated several syntheses, including a route to the antiviral umifenovir that requires functionalization of six C–H bonds. This general solution to chemical supply chain reinforcement will be useful during global disruptions, such as during a pandemic.

Transforming Logistics Pricing

2017 ◽  
Vol 8 (1) ◽  
pp. 40-54
Author(s):  
Jeffrey Drue Peck Jr ◽  
Michael S Gendron ◽  
Tera Black
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Business Intelligence ◽  
Multivariate Regression ◽  
Raw Materials ◽  
Market Forces ◽  
Logistics Services ◽  
The Cost ◽  
The Relationship

Raw materials and products are moved and created globally through complex supply chains. Within those supply chains, logistics is what enables the goods to move through distribution and to the end consumer. This is what motivates the researchers to examine the logistics portion of the supply chain and attempt to determine the relationship between various market forces and their impact on the cost of logistics. This will be accomplished with transformative analytics techniques, such as multivariate regression modeling, that should enable logistics managers, researchers, and others to better understand the cost of logistics services, and thus impact pricing of goods dependent on those services. In a world where logistics managers rely heavily on “gut feel”, utilizing business intelligence and analytics can better enable decision making.

Genetic Algorithm to Solve Multi-Period, Multi-Product, Bi-Echelon Supply Chain Network Design Problem

2011 ◽  
pp. 275-289
Author(s):  
R. Dhanalakshmi ◽  
P. Parthiban ◽  
K. Ganesh ◽  
T. Arunkumar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Optimization Techniques ◽  
Network Design Problem ◽  
Production Plant ◽  
Two Stage ◽  
Cost Structures ◽  
Multi Stage ◽  
Product Costs

In many multi-stage manufacturing supply chains, transportation related costs are a significant portion of final product costs. It is often crucial for successful decision making approaches in multi-stage manufacturing supply chains to explicitly account for non-linear transportation costs. In this article, we have explored this problem by considering a Two-Stage Production-Transportation (TSPT). A two-stage supply chain that faces a deterministic stream of external demands for a single product is considered. A finite supply of raw materials, and finite production at stage one has been assumed. Items are manufactured at stage one and transported to stage two, where the storage capacity of the warehouses is limited. Packaging is completed at stage two (that is, value is added to each item, but no new items are created), and the finished goods inventories are stored which is used to meet the final demand of customers. During each period, the optimized production levels in stage one, as well as transportation levels between stage one and stage two and routing structure from the production plant to warehouses and then to customers, must be determined. The authors consider “different cost structures,” for both manufacturing and transportation. This TSPT model with capacity constraint at both stages is optimized using Genetic Algorithms (GA) and the results obtained are compared with the results of other optimization techniques of complete enumeration, LINDO, and CPLEX.

Genetic Algorithm to Solve Multi-Period, Multi-Product, Bi-Echelon Supply Chain Network Design Problem

2011 ◽  
pp. 273-289
Author(s):  
R. Dhanalakshmi ◽  
P. Parthiban ◽  
K. Ganesh ◽  
T. Arunkumar
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Optimization Techniques ◽  
Network Design Problem ◽  
Production Plant ◽  
Supply Chain Network ◽  
Cost Structures ◽  
Multi Stage ◽  
Product Costs

In many multi-stage manufacturing supply chains, transportation related costs are a significant portion of final product costs. It is often crucial for successful decision making approaches in multi-stage manufacturing supply chains to explicitly account for non-linear transportation costs. In this article, we have explored this problem by considering a Two-Stage Production-Transportation (TSPT). A twostage supply chain that faces a deterministic stream of external demands for a single product is considered. A finite supply of raw materials, and finite production at stage one has been assumed. Items are manufactured at stage one and transported to stage two, where the storage capacity of the warehouses is limited. Packaging is completed at stage two (that is, value is added to each item, but no new items are created), and the finished goods inventories are stored which is used to meet the final demand of customers. During each period, the optimized production levels in stage one, as well as transportation levels between stage one and stage two and routing structure from the production plant to warehouses and then to customers, must be determined. The authors consider “different cost structures,” for both manufacturing and transportation. This TSPT model with capacity constraint at both stages is optimized using Genetic Algorithms (GA) and the results obtained are compared with the results of other optimization techniques of complete enumeration, LINDO, and CPLEX.

scholarly journals Pandemic turned into pandemonium: the effect on supply chains and the role of accounting information

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ajantha Velayutham ◽  
Asheq Razaur Rahman ◽  
Anil Narayan ◽  
Michael Wang
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Raw Materials ◽  
Accounting Information ◽  
Supply Side ◽  
Demand Side ◽  
Content Type ◽  
Business Entities ◽  
Respiratory Devices

PurposeThe purpose of this study is to examine the disruptive effects of COVID-19 on supply chains and question the role of accounting information in managing these supply chains in the face of such disruptive effects.Design/methodology/approachThe study first explains the effects of COVID-19 on the supply chains of business entities. It then explains the role of accounting information in supply chain management, questions accounting information's ability to play such a role, and makes recommendations for better accounting disclosures and accounting research for supply chains of firms. To illustrate the salient points, a case study of Fisher and Paykel Healthcare is conducted. It identifies the risks and uncertainties of supply chains exposed by COVID-19 disruptions to businesses.FindingsCOVID-19 has affected Fisher and Paykel Healthcare from both the supply-side (upstream) and demand-side (downstream) perspectives. On the supply side, it has disrupted the supply of raw materials used in the manufacture of respiratory devices and the costs of importing such materials. On the demand side, it has disrupted market logistics and customer demand. This has subsequently affected production. Such disruptions can be overcome through the dissemination of appropriate accounting information for the different stages of the supply chain to the managers. Such accounting information can also be useful to external stakeholders for minimizing their risks.Originality/valueThe study attempts to create an awareness of the supply chain uncertainties faced by managers and stakeholders arising from exogenous shocks, such as a pandemic, and how these uncertainties can be mitigated by aligning accounting information flows with the supply chain activity flows. The observations made in this paper are at a conceptual level and, therefore, can be applied to any industry.

Transformative Analytics and Logistics Pricing

2019 ◽  
pp. 275-290
Author(s):  
Jeffrey Drue Peck Jr. ◽  
Michael S. Gendron ◽  
Tera Black
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Business Intelligence ◽  
Multivariate Regression ◽  
Raw Materials ◽  
Logistics Services ◽  
Analytical Perspective ◽  
The Cost ◽  
The Relationship

Raw materials and products are moved and created globally through complex supply chains. Within those supply chains, logistics is what enables the goods to move through distribution and reach the end consumer. Being such a widely used process, this is what motivates the researchers to examine the logistics portion of the supply chain from an analytical perspective and attempt to determine the relationship between various market forces and their impact on the cost of logistics. This will be accomplished with transformative analytics techniques, such as multivariate regression modeling focusing on areas such as directionality and precipitation. That should enable logistics managers, researchers, and others to better understand the factors that go into the cost of logistics services, and thus impact pricing of goods dependent on those services. In a world where logistics managers rely heavily on “gut feel,” utilizing business intelligence and analytics can better enable decision making.

scholarly journals Effect of COVID-19 on the Indian Economy and Supply Chain

2020 ◽  
Author(s):  
Shruti Agrawal ◽  
Anbesh Jamwal ◽  
Sumit Gupta
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Developing Country ◽  
Conceptual Models ◽  
Raw Materials ◽  
Wuhan City ◽  
Indian Economy ◽  
First Case ◽  
Import And Export ◽  
Sea Ports

At present time world is facing from the coronavirus disease known as Covid-19. The first case of the coronavirus was reported in the December, 2019 in the Wuhan city of China which is known as the major transportation hub of China. After the spread of Covid-19 many countries have shut down their sea ports and airports. They have banned the import and export activities. Also, China is the major distributor of the raw materials which affect the manufacturing activities across the globe due to lockdowns. India is the developing country due to the Covid-19 spread the cases reported in the India government has lockdown the country for 41 days which affected the manufacturing activities and majorly it affects the supply chains and economy of the country. In the present paper we have discussed the effect of Covid-19 on Indian economy and on supply chains in India. There are total of 18 critical barriers are found out which affected the supply chains in the India. It is expected that this study will helpful the researchers to develop the conceptual models to overcome from this issue.

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