Project Charter

Running Head: PROJECT MANAGEMENT 1

Project Charter

Latasha Felder

Grantham University

April 26, 2022

Dr. Mark Malley

USDA/FSIS 2

Overview

FSIS stands for the Food Safety and Inspection Service and is accountable for ensuring the

safety of products such as poultry, eggs, meat, and Siluriform, as well as ensuring that these

products are well labeled and packaged. Authorities that enhance food safety in FSIS include the

Egg Products Inspection Act, the Federal Meat Inspection Act, the gentle handling of animals

through the Humane Methods of Slaughter Act, and the Inspection Act for Poultry Products

(Muniiza et al, 2020). On the other hand, the USDA stands for the United States Department of

Agriculture which is the central administrative department that is accountable for the development

and execution of the state laws concerning food, forestry, rural economic growth, and farming. It

ensures that the requirements for food production in livestock and commercial farming are met. It

also ensures food safety, encourages agricultural production and trade, protection of natural

resources, and ensures there is no hunger in the United States as well as globally.

Business Case

FSIS is the company chosen for the study which is an agency of the USDA. This company

has an aim to the achievement of various projects in the recent years which include the HACCP-

Based Inspection Models Project (HIMP) and the FSIS retail Listeria Monocytogenes Pilot project.

Considering these two projects, they are very important and central to the company therefore there

is a need to have a scoring model that will effectively measure the extent to which the project in

this case functions. In this case, therefore, the two projects will have distinct scoring modes each.

The best model for the HIMP will be the cyber click scoring model because the project aims at

looking at a specific demographic group of people. On the other hand, the scoring model that will

be suitable for the Listeria Monocytogenes Pilot project will be the pilot lead scoring model

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Background

HIMP was established by the FSIS to enhance an inspection system for poultry and meat

that is efficient, flexible, and fully integrated. This system is expected to produce a rise in the

safety of foods and other merits to the consumers thus authorizing the effective deployment of

FSIS on the in-plant resources (Havazi et al, 2018). A lead scoring model is an inbound tool used

by financial advisors for marketing. Each lead is allotted a score that gets altered and updated in

time. On the other hand, the cyber click scouring model can either be based on the demographic

profile or the behavior of the lead.

Milestone Schedule

This schedule shows all the probable lead combinations. They can be grouped as cold, warm, or

hot leads. The hot leads are the most active ones, the cold leads are inactive while the warm leads

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are more active than cold leads although they have not attained the optimum combination of the

two constraints.

Risks, Assumptions and Constraints

There are several risks involved such as the public health impact of the influenza virus in

poultry and products such as eggs, slaughter effects on public health, lack of inspection for fish of

the order Siluriform and its impact on human health, and potential health effects linked with the

raw chicken parts. Foodborne hazards in general including the biological, chemical, and physical

risks pose a dangerous effect on human health.

Several constraints are involved with the pilot lead scoring model as well as the cyber click

scoring model. There may be a restricted scope view whereby significant measures in the process

of selection may be overlooked hence resulting in large obstacles ahead. Appropriate weighting of

criteria may also be difficult since there is a possibility of change in the significance of the criteria

as the project proceeds, hence making the reflection of the model impossible (Karolenko et al,

2020). There may be also inflexibility in decision-making based on the models since the templates

or forms used may be unattractive for creative management of the products.

Several assumptions are also involved when using the models. These include assumptions

on microbiological and inspection data as well as assumptions about the probabilities of

contracting illnesses.

Resource Estimates

Estimates in FSIS should be made to estimate the incidence of pathogens, reduce

contamination of products as well as enhance favorable policies. Analogous estimation is done

whereby previous data on the resources is used to estimate the quantity and quality of resources to

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be used. Previous data on FSIS will therefore be used to derive estimates on the regulated products

for FSIS used in the production process.

Stakeholders

There are various stakeholders involved such as the Food and Drug Administration (FDA),

Center for Disease Control and Prevention (CDC), Food and Nutrition Service (FNS), Animal and

Plant Inspection Service, U.S Department of Agriculture (USDA) Agencies, the U.S Government,

employees, and contractors, among others.

Team Operating Principles

There are several operating principles incorporated in FSIS. The employees should meet

the requirements for ethical conduct and embrace their responsibilities as required. The employees

should conduct themselves according to the provisions made in the Code of Federal Regulations

(Havani et al, 2018). They should maintain high levels of integrity, honesty, and impartiality. The

confidence of the citizens in the company is influenced by the employees' conduct in public.

Supervisors should ensure that employees adhere to the regulations.

Lessons Learned

Important records should be kept well for instance name of supplied materials, production

dates, dates of cleaning and sanitizing of food-contact surfaces, date and time when the raw

product is produced, among others.

Important handling measures that facilitate food safety include refrigeration of poultry

products after use, covering of poultry products that are not in use, enhancing sanitary conditions,

frequent cleaning and sanitizing of equipment used to process the products, ensuring that

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employees handling RTE products wear gloves, eliminating facility conditions that can result to

the alteration of products, among others.

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References

Hayani, H., Song, I., & Dityatev, A. (2018). Increased excitability and reduced excitatory synaptic

input into fast-spiking CA2 interneurons after enzymatic attenuation of extracellular

matrix. Frontiers in cellular neuroscience, 12, 149.

Karolenko, C. E., Bhusal, A., Nelson, J. L., & Muriana, P. M. (2020). Processing of biltong (dried

beef) to achieve USDA-FSIS 5-log reduction of Salmonella without a heat lethality

step. Microorganisms, 8(5), 791.

Munjiza, A., Rougier, E., Lei, Z., & Knight, E. E. (2020). FSIS: a novel fluid–solid interaction

solver for fracturing and fragmenting solids. Computational Particle Mechanics, 7(5), 789-

805.