Answer:
Objective function (maximize)
![Profit=0.40L+0.50V](https://img.qammunity.org/2020/formulas/business/college/bp48zi4m6szk7dhfbb74aw303q0okkx244.png)
Constraints
- Availabitily of salt:
![2L+3V\leq4800](https://img.qammunity.org/2020/formulas/business/college/e39p6k3mpeplq0di9akucpbntfcny0gpxv.png)
- Availability of herbs:
![1C+2V\leq 2000](https://img.qammunity.org/2020/formulas/business/college/xeyxfuytewi6w2rvk7jj2sk2pwd36k57t6.png)
- Availability of flour:
![6C+8V\leq9600](https://img.qammunity.org/2020/formulas/business/college/fsntbwo3m5bctf1skt3kdfz3p9rz522jzj.png)
Step-by-step explanation:
This a linear programming problem. We have an objective function (in this case it is the profit) that we want to optimize, but complying with constraints (in this case, the availability of ingredients).
The objective function can be defined taking into account the profits of the two kind of chips:
![Profit=0.40L+0.50V](https://img.qammunity.org/2020/formulas/business/college/bp48zi4m6szk7dhfbb74aw303q0okkx244.png)
The constraints can be expressed taking into account the amount of ingredients every unit of chip needs and stating that it has to be less or equal to the availability of this ingredient:
- Availabitily of salt:
![2L+3V\leq4800](https://img.qammunity.org/2020/formulas/business/college/e39p6k3mpeplq0di9akucpbntfcny0gpxv.png)
- Availability of herbs
![1C+2V\leq 2000](https://img.qammunity.org/2020/formulas/business/college/xeyxfuytewi6w2rvk7jj2sk2pwd36k57t6.png)
- Availability of flour
![6C+8V\leq9600](https://img.qammunity.org/2020/formulas/business/college/fsntbwo3m5bctf1skt3kdfz3p9rz522jzj.png)
With these expressions the linear programming problem can be solved.